From 1d1416d5d8a4f35be676246dc84c91655e33a7c7 Mon Sep 17 00:00:00 2001
From: Your Name <you@example.com>
Date: Thu, 10 Sep 2026 12:19:59 +0300
Subject: [PATCH] First

---
 3D/BODY/BearingHolder.stl                     |   Bin 0 -> 55084 bytes
 3D/BODY/BottomCover.stl                       |   Bin 0 -> 151184 bytes
 3D/BODY/BottomCoverCutout.stl                 |   Bin 0 -> 4284 bytes
 3D/BODY/BottomV2.stl                          |   Bin 0 -> 575284 bytes
 3D/BODY/CameraHolder.stl                      |   Bin 0 -> 140284 bytes
 3D/BODY/MiddleSupport.stl                     |   Bin 0 -> 58684 bytes
 3D/BODY/MiddleV2.stl                          |   Bin 0 -> 345284 bytes
 3D/LEFT/COXA/BearingHolder.stl                |   Bin 0 -> 92184 bytes
 3D/LEFT/COXA/HornHolder.stl                   |   Bin 0 -> 50884 bytes
 3D/LEFT/COXA/PotHolder.stl                    |   Bin 0 -> 85984 bytes
 3D/LEFT/COXA/SideBottom.stl                   |   Bin 0 -> 85684 bytes
 3D/LEFT/COXA/SideMiddle.stl                   |   Bin 0 -> 59484 bytes
 3D/LEFT/COXA/SideTop.stl                      |   Bin 0 -> 55984 bytes
 3D/LEFT/FEMUR/SideBottom.stl                  |   Bin 0 -> 133484 bytes
 3D/LEFT/FEMUR/SideMiddle.stl                  |   Bin 0 -> 74484 bytes
 3D/LEFT/FEMUR/SideTop.stl                     |   Bin 0 -> 78284 bytes
 3D/LEFT/LeftLegBlack.stl                      |   Bin 0 -> 786284 bytes
 3D/LEFT/LeftLegGreen.stl                      |   Bin 0 -> 1011184 bytes
 3D/LEFT/TIBIA/BottomBottom.stl                |   Bin 0 -> 120184 bytes
 3D/LEFT/TIBIA/BottomTop.stl                   |   Bin 0 -> 159884 bytes
 3D/LEFT/TIBIA/MiddleBottom.stl                |   Bin 0 -> 82884 bytes
 3D/LEFT/TIBIA/MiddleSpacer.stl                |   Bin 0 -> 96484 bytes
 3D/LEFT/TIBIA/MiddleTop.stl                   |   Bin 0 -> 82884 bytes
 3D/LEFT/TIBIA/TibiaEndBottom.stl              |   Bin 0 -> 376284 bytes
 3D/LEFT/TIBIA/TibiaEndTop.stl                 |   Bin 0 -> 130584 bytes
 3D/LEFT/TIBIA/TopBottom.stl                   |   Bin 0 -> 119884 bytes
 3D/LEFT/TIBIA/TopMiddle.stl                   |   Bin 0 -> 59484 bytes
 3D/LEFT/TIBIA/TopTop.stl                      |   Bin 0 -> 150384 bytes
 3D/RIGHT/COXA/BearingHolder.stl               |   Bin 0 -> 92184 bytes
 3D/RIGHT/COXA/HornHolder.stl                  |   Bin 0 -> 50884 bytes
 3D/RIGHT/COXA/PotHolder.stl                   |   Bin 0 -> 85984 bytes
 3D/RIGHT/COXA/SideBottom.stl                  |   Bin 0 -> 85684 bytes
 3D/RIGHT/COXA/SideMiddle.stl                  |   Bin 0 -> 59484 bytes
 3D/RIGHT/COXA/SideTop.stl                     |   Bin 0 -> 55984 bytes
 3D/RIGHT/FEMUR/SideBottom.stl                 |   Bin 0 -> 133484 bytes
 3D/RIGHT/FEMUR/SideMiddle.stl                 |   Bin 0 -> 74484 bytes
 3D/RIGHT/FEMUR/SideTop.stl                    |   Bin 0 -> 78284 bytes
 3D/RIGHT/RightLegBlack.stl                    |   Bin 0 -> 786284 bytes
 3D/RIGHT/RightLegGreen.stl                    |   Bin 0 -> 1011184 bytes
 3D/RIGHT/TIBIA/BottomBottom.stl               |   Bin 0 -> 120184 bytes
 3D/RIGHT/TIBIA/BottomTop.stl                  |   Bin 0 -> 159884 bytes
 3D/RIGHT/TIBIA/MiddleBottom.stl               |   Bin 0 -> 82884 bytes
 3D/RIGHT/TIBIA/MiddleSpacer.stl               |   Bin 0 -> 96484 bytes
 3D/RIGHT/TIBIA/MiddleTop.stl                  |   Bin 0 -> 82884 bytes
 3D/RIGHT/TIBIA/TibiaEndBottom.stl             |   Bin 0 -> 376284 bytes
 3D/RIGHT/TIBIA/TibiaEndTop.stl                |   Bin 0 -> 130584 bytes
 3D/RIGHT/TIBIA/TopBottom.stl                  |   Bin 0 -> 119884 bytes
 3D/RIGHT/TIBIA/TopMiddle.stl                  |   Bin 0 -> 59484 bytes
 3D/RIGHT/TIBIA/TopTop.stl                     |   Bin 0 -> 150384 bytes
 3DV2/BODY/BLACK/Body - Bottom.stl             |   Bin 0 -> 4649084 bytes
 3DV2/BODY/BLACK/Body - BottomCover.stl        |   Bin 0 -> 740884 bytes
 3DV2/BODY/BLACK/Body - BottomCoverV2.stl      |   Bin 0 -> 1631884 bytes
 3DV2/BODY/BLACK/Body - BottomV2.stl           |   Bin 0 -> 5108684 bytes
 3DV2/BODY/BLACK/Body - MiddleSupport.stl      |   Bin 0 -> 95684 bytes
 3DV2/BODY/BLACK/Body Simple - CNC2.dxf        | 32652 +++++++
 3DV2/BODY/BLACK/Body Simple - CNC2.step       | 10158 +++
 3DV2/BODY/BLACK/Body Simple - CNC2.stl        |   Bin 0 -> 2559984 bytes
 3DV2/BODY/GREEN/Body - Middle.stl             |   Bin 0 -> 2327284 bytes
 .../LEFT/BLACK/Coxa Left - BearingHolder.stl  |   Bin 0 -> 290684 bytes
 .../LEG/LEFT/BLACK/Coxa Left - HornHolder.stl |   Bin 0 -> 195784 bytes
 3DV2/LEG/LEFT/BLACK/Coxa Left - Middle.stl    |   Bin 0 -> 89684 bytes
 3DV2/LEG/LEFT/BLACK/Femur Left - Bottom.stl   |   Bin 0 -> 583484 bytes
 3DV2/LEG/LEFT/BLACK/Femur Left - Top.stl      |   Bin 0 -> 787784 bytes
 3DV2/LEG/LEFT/BLACK/Left Black.3mf            |   Bin 0 -> 565948 bytes
 3DV2/LEG/LEFT/BLACK/Tibia Left - EndTop.stl   |   Bin 0 -> 313384 bytes
 .../LEFT/BLACK/Tibia Left - MiddleMiddle.stl  |   Bin 0 -> 174284 bytes
 .../LEFT/BLACK/Tibia Left - MiddleSpacer.stl  |   Bin 0 -> 226484 bytes
 .../LEG/LEFT/BLACK/Tibia Left - MiddleTop.stl |   Bin 0 -> 181484 bytes
 .../LEFT/GREEN/Body - ServoBearingHolder.stl  |   Bin 0 -> 335484 bytes
 3DV2/LEG/LEFT/GREEN/Coxa Left - Bottom.stl    |   Bin 0 -> 328984 bytes
 .../GREEN/Coxa Left - ServoBearingHolder.stl  |   Bin 0 -> 337084 bytes
 .../GREEN/Coxa Left - ServoBearingHolder2.stl |   Bin 0 -> 335484 bytes
 3DV2/LEG/LEFT/GREEN/Coxa Left - Tensioner.stl |   Bin 0 -> 87684 bytes
 3DV2/LEG/LEFT/GREEN/Coxa Left - Top.stl       |   Bin 0 -> 526484 bytes
 3DV2/LEG/LEFT/GREEN/Femur Left - Middle.stl   |   Bin 0 -> 333684 bytes
 .../Femur Left - ServoBearingHolder3.stl      |   Bin 0 -> 335484 bytes
 .../LEG/LEFT/GREEN/Femur Left - Tensioner.stl |   Bin 0 -> 72084 bytes
 3DV2/LEG/LEFT/GREEN/LeftLegGreen.3mf          |   Bin 0 -> 1013294 bytes
 .../LEFT/GREEN/Tibia Left - BottomBottom.stl  |   Bin 0 -> 501784 bytes
 .../LEG/LEFT/GREEN/Tibia Left - BottomTop.stl |   Bin 0 -> 693684 bytes
 .../LEG/LEFT/GREEN/Tibia Left - EndBottom.stl |   Bin 0 -> 878484 bytes
 .../LEFT/GREEN/Tibia Left - EndBottomV2.stl   |   Bin 0 -> 144084 bytes
 .../LEG/LEFT/GREEN/Tibia Left - Tensioner.stl |   Bin 0 -> 72084 bytes
 .../LEG/LEFT/GREEN/Tibia Left - TopBottom.stl |   Bin 0 -> 667884 bytes
 3DV2/LEG/LEFT/GREEN/Tibia Left - TopTop.stl   |   Bin 0 -> 853484 bytes
 .../BLACK/Coxa Right - BearingHolder.stl      |   Bin 0 -> 301284 bytes
 .../RIGHT/BLACK/Coxa Right - HornHolder.stl   |   Bin 0 -> 195784 bytes
 3DV2/LEG/RIGHT/BLACK/Coxa Right - Middle.stl  |   Bin 0 -> 89684 bytes
 3DV2/LEG/RIGHT/BLACK/Femur Right - Bottom.stl |   Bin 0 -> 583484 bytes
 3DV2/LEG/RIGHT/BLACK/Femur Right - Top.stl    |   Bin 0 -> 787784 bytes
 3DV2/LEG/RIGHT/BLACK/Right Leg.3mf            |   Bin 0 -> 598511 bytes
 3DV2/LEG/RIGHT/BLACK/Tibia Right - EndTop.stl |   Bin 0 -> 284784 bytes
 .../BLACK/Tibia Right - MiddleBottom.stl      |   Bin 0 -> 174284 bytes
 .../BLACK/Tibia Right - MiddleMiddle.stl      |   Bin 0 -> 174284 bytes
 .../BLACK/Tibia Right - MiddleSpacer.stl      |   Bin 0 -> 226484 bytes
 .../RIGHT/BLACK/Tibia Right - MiddleTop.stl   |   Bin 0 -> 181484 bytes
 3DV2/LEG/RIGHT/GREEN/Coxa Right - Bottom.stl  |   Bin 0 -> 329084 bytes
 .../GREEN/Coxa Right - ServoBearingHolder.stl |   Bin 0 -> 337084 bytes
 .../RIGHT/GREEN/Coxa Right - Tensioner.stl    |   Bin 0 -> 87684 bytes
 3DV2/LEG/RIGHT/GREEN/Coxa Right - Top.stl     |   Bin 0 -> 526384 bytes
 3DV2/LEG/RIGHT/GREEN/Femur Right - Middle.stl |   Bin 0 -> 333684 bytes
 3DV2/LEG/RIGHT/GREEN/Right Leg.3mf            |   Bin 0 -> 992467 bytes
 .../GREEN/Tibia Right - BottomBottom.stl      |   Bin 0 -> 473484 bytes
 .../RIGHT/GREEN/Tibia Right - BottomTop.stl   |   Bin 0 -> 664884 bytes
 .../RIGHT/GREEN/Tibia Right - EndBottom.stl   |   Bin 0 -> 878484 bytes
 .../RIGHT/GREEN/Tibia Right - TopBottom.stl   |   Bin 0 -> 638584 bytes
 3DV2/LEG/RIGHT/GREEN/Tibia Right - TopTop.stl |   Bin 0 -> 823884 bytes
 3DV2/urdf/assets/body.part                    |    13 +
 3DV2/urdf/assets/body.stl                     |   Bin 0 -> 1172184 bytes
 3DV2/urdf/assets/coxa.part                    |    13 +
 3DV2/urdf/assets/coxa.stl                     |   Bin 0 -> 409984 bytes
 3DV2/urdf/assets/coxa__2.part                 |    13 +
 3DV2/urdf/assets/coxa__2.stl                  |   Bin 0 -> 410084 bytes
 3DV2/urdf/assets/femur.part                   |    13 +
 3DV2/urdf/assets/femur.stl                    |   Bin 0 -> 552284 bytes
 3DV2/urdf/assets/femur__2.part                |    13 +
 3DV2/urdf/assets/femur__2.stl                 |   Bin 0 -> 552284 bytes
 3DV2/urdf/assets/tibia.part                   |    13 +
 3DV2/urdf/assets/tibia.stl                    |   Bin 0 -> 1011284 bytes
 3DV2/urdf/assets/tibia__2.part                |    13 +
 3DV2/urdf/assets/tibia__2.stl                 |   Bin 0 -> 1011484 bytes
 3DV2/urdf/blender/body.mtl                    |    12 +
 3DV2/urdf/blender/body.obj                    | 75302 ++++++++++++++++
 3DV2/urdf/blender/coxa.mtl                    |    12 +
 3DV2/urdf/blender/coxa.obj                    |  6299 ++
 3DV2/urdf/blender/coxa__2.mtl                 |    12 +
 3DV2/urdf/blender/coxa__2.obj                 |  6297 ++
 3DV2/urdf/blender/femur.mtl                   |    12 +
 3DV2/urdf/blender/femur.obj                   |  8517 ++
 3DV2/urdf/blender/femur__2.mtl                |    12 +
 3DV2/urdf/blender/femur__2.obj                |  8518 ++
 3DV2/urdf/blender/tibia.mtl                   |    12 +
 3DV2/urdf/blender/tibia.obj                   | 14036 +++
 3DV2/urdf/blender/tibia__2.mtl                |    12 +
 3DV2/urdf/blender/tibia__2.obj                | 14035 +++
 3DV2/urdf/config.json                         |     6 +
 3DV2/urdf/env                                 |     3 +
 3DV2/urdf/glb/base.glb                        |   Bin 0 -> 1473248 bytes
 3DV2/urdf/glb/coxa.glb                        |   Bin 0 -> 116692 bytes
 3DV2/urdf/glb/coxa__2.glb                     |   Bin 0 -> 116664 bytes
 3DV2/urdf/glb/femur.glb                       |   Bin 0 -> 155664 bytes
 3DV2/urdf/glb/femur__2.glb                    |   Bin 0 -> 155672 bytes
 3DV2/urdf/glb/tibia.glb                       |   Bin 0 -> 252068 bytes
 3DV2/urdf/glb/tibia__2.glb                    |   Bin 0 -> 252080 bytes
 3DV2/urdf/obj/body.mtl                        |    12 +
 3DV2/urdf/obj/body.obj                        | 75302 ++++++++++++++++
 3DV2/urdf/obj/coxa.mtl                        |    12 +
 3DV2/urdf/obj/coxa.obj                        |  6299 ++
 3DV2/urdf/obj/coxa__2.mtl                     |    12 +
 3DV2/urdf/obj/coxa__2.obj                     |  6297 ++
 3DV2/urdf/obj/femur.mtl                       |    12 +
 3DV2/urdf/obj/femur.obj                       |  8517 ++
 3DV2/urdf/obj/femur__2.mtl                    |    12 +
 3DV2/urdf/obj/femur__2.obj                    |  8518 ++
 3DV2/urdf/obj/tibia.mtl                       |    12 +
 3DV2/urdf/obj/tibia.obj                       | 14036 +++
 3DV2/urdf/obj/tibia__2.mtl                    |    12 +
 3DV2/urdf/obj/tibia__2.obj                    | 14035 +++
 3DV2/urdf/robot.urdf                          |   605 +
 3DV2/urdf/urdf.blend                          |   Bin 0 -> 1895247 bytes
 3DV2/urdf/urdf.blend1                         |   Bin 0 -> 1895238 bytes
 3DV2/urdf/urdf.mtl                            |    12 +
 3DV2/urdf_backup/assets/bearingholder.part    |    13 +
 3DV2/urdf_backup/assets/bearingholder.stl     |   Bin 0 -> 409984 bytes
 3DV2/urdf_backup/assets/bearingholder__2.part |    13 +
 3DV2/urdf_backup/assets/bearingholder__2.stl  |   Bin 0 -> 410084 bytes
 3DV2/urdf_backup/assets/bottom.part           |    13 +
 3DV2/urdf_backup/assets/bottom.stl            |   Bin 0 -> 1172184 bytes
 3DV2/urdf_backup/assets/bottomtop.part        |    13 +
 3DV2/urdf_backup/assets/bottomtop.stl         |   Bin 0 -> 1011284 bytes
 3DV2/urdf_backup/assets/bottomtop__2.part     |    13 +
 3DV2/urdf_backup/assets/bottomtop__2.stl      |   Bin 0 -> 1011484 bytes
 3DV2/urdf_backup/assets/top.part              |    13 +
 3DV2/urdf_backup/assets/top.stl               |   Bin 0 -> 552284 bytes
 3DV2/urdf_backup/assets/top__2.part           |    13 +
 3DV2/urdf_backup/assets/top__2.stl            |   Bin 0 -> 552284 bytes
 3DV2/urdf_backup/config.json                  |     6 +
 3DV2/urdf_backup/env                          |     3 +
 3DV2/urdf_backup/robot.urdf                   |   605 +
 .../LEFT/BLACK/Coxa Left - BearingHolder.stl  |   Bin 0 -> 278084 bytes
 .../LEG/LEFT/BLACK/Coxa Left - HornHolder.stl |   Bin 0 -> 199984 bytes
 3DV3/LEG/LEFT/BLACK/Coxa Left - Middle.stl    |   Bin 0 -> 180884 bytes
 .../Tibia Left - LegTipHolder 0.02.stl        |   Bin 0 -> 210884 bytes
 .../Tibia Left - LegTipHolder 0.04.stl        |   Bin 0 -> 210884 bytes
 .../Tibia Left - LegTipHolder 0.06.stl        |   Bin 0 -> 210884 bytes
 .../Tibia Left - LegTipHolder 0.1.stl         |   Bin 0 -> 210884 bytes
 .../Tibia Left - LegTipHolder 0.2.stl         |   Bin 0 -> 210884 bytes
 .../Tibia Left - LegTipHolder 0.3.stl         |   Bin 0 -> 210884 bytes
 .../Tibia Left - LegTipHolder.stl             |   Bin 0 -> 210884 bytes
 .../LEFT/BLACK/Tibia Left - EndStopHolder.stl |   Bin 0 -> 177684 bytes
 .../BLACK/Tibia Left - LegTipHolder 0.08.stl  |   Bin 0 -> 210884 bytes
 .../LEFT/BLACK/Tibia Left - MiddleMiddle.stl  |   Bin 0 -> 205284 bytes
 .../LEG/LEFT/BLACK/Tibia Left - MiddleTop.stl |   Bin 0 -> 147284 bytes
 3DV3/LEG/LEFT/BLACK/Tibia.3mf                 |   Bin 0 -> 201703 bytes
 3DV3/LEG/LEFT/GREEN/Coxa Left - Bottom.stl    |   Bin 0 -> 338584 bytes
 3DV3/LEG/LEFT/GREEN/Coxa Left - Top.stl       |   Bin 0 -> 606284 bytes
 3DV3/LEG/LEFT/GREEN/Tibia Left - Bottom.stl   |   Bin 0 -> 446584 bytes
 3DV3/LEG/LEFT/GREEN/Tibia Left - Top.stl      |   Bin 0 -> 726684 bytes
 3DV3/LEG/LEFT/GREEN/Tibia.3mf                 |   Bin 0 -> 282950 bytes
 pins.drawio                                   |  2092 +
 servo_controller/.gitignore                   |     4 +
 servo_controller/CMakeLists.txt               |    10 +
 servo_controller/Kconfig                      |    60 +
 servo_controller/README.md                    |    56 +
 servo_controller/app.overlay                  |     0
 servo_controller/prj.conf                     |    30 +
 servo_controller/scripts/led_blink.py         |   123 +
 servo_controller/scripts/speed_test.py        |   263 +
 servo_controller/scripts/speed_test2.py       |   224 +
 servo_controller/scripts/speed_test3.py       |   384 +
 servo_controller/src/command_handler.c        |    47 +
 servo_controller/src/command_handler.h        |    16 +
 servo_controller/src/command_message.c        |    75 +
 servo_controller/src/command_message.h        |    75 +
 servo_controller/src/led.c                    |    81 +
 servo_controller/src/led.h                    |    11 +
 servo_controller/src/main.c                   |    24 +
 servo_controller/src/servo.c                  |    37 +
 servo_controller/src/servo.h                  |    13 +
 servo_controller/src/usb.c                    |   231 +
 servo_controller/src/usb.h                    |    12 +
 servo_controller/src/usb_conf.c               |   184 +
 servo_controller/src/usb_conf.h               |    11 +
 223 files changed, 314471 insertions(+)
 create mode 100755 3D/BODY/BearingHolder.stl
 create mode 100755 3D/BODY/BottomCover.stl
 create mode 100755 3D/BODY/BottomCoverCutout.stl
 create mode 100755 3D/BODY/BottomV2.stl
 create mode 100755 3D/BODY/CameraHolder.stl
 create mode 100755 3D/BODY/MiddleSupport.stl
 create mode 100755 3D/BODY/MiddleV2.stl
 create mode 100755 3D/LEFT/COXA/BearingHolder.stl
 create mode 100755 3D/LEFT/COXA/HornHolder.stl
 create mode 100755 3D/LEFT/COXA/PotHolder.stl
 create mode 100755 3D/LEFT/COXA/SideBottom.stl
 create mode 100755 3D/LEFT/COXA/SideMiddle.stl
 create mode 100755 3D/LEFT/COXA/SideTop.stl
 create mode 100755 3D/LEFT/FEMUR/SideBottom.stl
 create mode 100755 3D/LEFT/FEMUR/SideMiddle.stl
 create mode 100755 3D/LEFT/FEMUR/SideTop.stl
 create mode 100755 3D/LEFT/LeftLegBlack.stl
 create mode 100755 3D/LEFT/LeftLegGreen.stl
 create mode 100755 3D/LEFT/TIBIA/BottomBottom.stl
 create mode 100755 3D/LEFT/TIBIA/BottomTop.stl
 create mode 100755 3D/LEFT/TIBIA/MiddleBottom.stl
 create mode 100755 3D/LEFT/TIBIA/MiddleSpacer.stl
 create mode 100755 3D/LEFT/TIBIA/MiddleTop.stl
 create mode 100755 3D/LEFT/TIBIA/TibiaEndBottom.stl
 create mode 100755 3D/LEFT/TIBIA/TibiaEndTop.stl
 create mode 100755 3D/LEFT/TIBIA/TopBottom.stl
 create mode 100755 3D/LEFT/TIBIA/TopMiddle.stl
 create mode 100755 3D/LEFT/TIBIA/TopTop.stl
 create mode 100755 3D/RIGHT/COXA/BearingHolder.stl
 create mode 100755 3D/RIGHT/COXA/HornHolder.stl
 create mode 100755 3D/RIGHT/COXA/PotHolder.stl
 create mode 100755 3D/RIGHT/COXA/SideBottom.stl
 create mode 100755 3D/RIGHT/COXA/SideMiddle.stl
 create mode 100755 3D/RIGHT/COXA/SideTop.stl
 create mode 100755 3D/RIGHT/FEMUR/SideBottom.stl
 create mode 100755 3D/RIGHT/FEMUR/SideMiddle.stl
 create mode 100755 3D/RIGHT/FEMUR/SideTop.stl
 create mode 100755 3D/RIGHT/RightLegBlack.stl
 create mode 100755 3D/RIGHT/RightLegGreen.stl
 create mode 100755 3D/RIGHT/TIBIA/BottomBottom.stl
 create mode 100755 3D/RIGHT/TIBIA/BottomTop.stl
 create mode 100755 3D/RIGHT/TIBIA/MiddleBottom.stl
 create mode 100755 3D/RIGHT/TIBIA/MiddleSpacer.stl
 create mode 100755 3D/RIGHT/TIBIA/MiddleTop.stl
 create mode 100755 3D/RIGHT/TIBIA/TibiaEndBottom.stl
 create mode 100755 3D/RIGHT/TIBIA/TibiaEndTop.stl
 create mode 100755 3D/RIGHT/TIBIA/TopBottom.stl
 create mode 100755 3D/RIGHT/TIBIA/TopMiddle.stl
 create mode 100755 3D/RIGHT/TIBIA/TopTop.stl
 create mode 100755 3DV2/BODY/BLACK/Body - Bottom.stl
 create mode 100755 3DV2/BODY/BLACK/Body - BottomCover.stl
 create mode 100755 3DV2/BODY/BLACK/Body - BottomCoverV2.stl
 create mode 100755 3DV2/BODY/BLACK/Body - BottomV2.stl
 create mode 100755 3DV2/BODY/BLACK/Body - MiddleSupport.stl
 create mode 100644 3DV2/BODY/BLACK/Body Simple - CNC2.dxf
 create mode 100644 3DV2/BODY/BLACK/Body Simple - CNC2.step
 create mode 100644 3DV2/BODY/BLACK/Body Simple - CNC2.stl
 create mode 100755 3DV2/BODY/GREEN/Body - Middle.stl
 create mode 100755 3DV2/LEG/LEFT/BLACK/Coxa Left - BearingHolder.stl
 create mode 100755 3DV2/LEG/LEFT/BLACK/Coxa Left - HornHolder.stl
 create mode 100755 3DV2/LEG/LEFT/BLACK/Coxa Left - Middle.stl
 create mode 100755 3DV2/LEG/LEFT/BLACK/Femur Left - Bottom.stl
 create mode 100755 3DV2/LEG/LEFT/BLACK/Femur Left - Top.stl
 create mode 100755 3DV2/LEG/LEFT/BLACK/Left Black.3mf
 create mode 100755 3DV2/LEG/LEFT/BLACK/Tibia Left - EndTop.stl
 create mode 100755 3DV2/LEG/LEFT/BLACK/Tibia Left - MiddleMiddle.stl
 create mode 100755 3DV2/LEG/LEFT/BLACK/Tibia Left - MiddleSpacer.stl
 create mode 100755 3DV2/LEG/LEFT/BLACK/Tibia Left - MiddleTop.stl
 create mode 100755 3DV2/LEG/LEFT/GREEN/Body - ServoBearingHolder.stl
 create mode 100755 3DV2/LEG/LEFT/GREEN/Coxa Left - Bottom.stl
 create mode 100755 3DV2/LEG/LEFT/GREEN/Coxa Left - ServoBearingHolder.stl
 create mode 100755 3DV2/LEG/LEFT/GREEN/Coxa Left - ServoBearingHolder2.stl
 create mode 100755 3DV2/LEG/LEFT/GREEN/Coxa Left - Tensioner.stl
 create mode 100755 3DV2/LEG/LEFT/GREEN/Coxa Left - Top.stl
 create mode 100755 3DV2/LEG/LEFT/GREEN/Femur Left - Middle.stl
 create mode 100755 3DV2/LEG/LEFT/GREEN/Femur Left - ServoBearingHolder3.stl
 create mode 100755 3DV2/LEG/LEFT/GREEN/Femur Left - Tensioner.stl
 create mode 100755 3DV2/LEG/LEFT/GREEN/LeftLegGreen.3mf
 create mode 100755 3DV2/LEG/LEFT/GREEN/Tibia Left - BottomBottom.stl
 create mode 100755 3DV2/LEG/LEFT/GREEN/Tibia Left - BottomTop.stl
 create mode 100755 3DV2/LEG/LEFT/GREEN/Tibia Left - EndBottom.stl
 create mode 100755 3DV2/LEG/LEFT/GREEN/Tibia Left - EndBottomV2.stl
 create mode 100755 3DV2/LEG/LEFT/GREEN/Tibia Left - Tensioner.stl
 create mode 100755 3DV2/LEG/LEFT/GREEN/Tibia Left - TopBottom.stl
 create mode 100755 3DV2/LEG/LEFT/GREEN/Tibia Left - TopTop.stl
 create mode 100755 3DV2/LEG/RIGHT/BLACK/Coxa Right - BearingHolder.stl
 create mode 100755 3DV2/LEG/RIGHT/BLACK/Coxa Right - HornHolder.stl
 create mode 100755 3DV2/LEG/RIGHT/BLACK/Coxa Right - Middle.stl
 create mode 100755 3DV2/LEG/RIGHT/BLACK/Femur Right - Bottom.stl
 create mode 100755 3DV2/LEG/RIGHT/BLACK/Femur Right - Top.stl
 create mode 100755 3DV2/LEG/RIGHT/BLACK/Right Leg.3mf
 create mode 100755 3DV2/LEG/RIGHT/BLACK/Tibia Right - EndTop.stl
 create mode 100755 3DV2/LEG/RIGHT/BLACK/Tibia Right - MiddleBottom.stl
 create mode 100755 3DV2/LEG/RIGHT/BLACK/Tibia Right - MiddleMiddle.stl
 create mode 100755 3DV2/LEG/RIGHT/BLACK/Tibia Right - MiddleSpacer.stl
 create mode 100755 3DV2/LEG/RIGHT/BLACK/Tibia Right - MiddleTop.stl
 create mode 100755 3DV2/LEG/RIGHT/GREEN/Coxa Right - Bottom.stl
 create mode 100755 3DV2/LEG/RIGHT/GREEN/Coxa Right - ServoBearingHolder.stl
 create mode 100755 3DV2/LEG/RIGHT/GREEN/Coxa Right - Tensioner.stl
 create mode 100755 3DV2/LEG/RIGHT/GREEN/Coxa Right - Top.stl
 create mode 100755 3DV2/LEG/RIGHT/GREEN/Femur Right - Middle.stl
 create mode 100755 3DV2/LEG/RIGHT/GREEN/Right Leg.3mf
 create mode 100755 3DV2/LEG/RIGHT/GREEN/Tibia Right - BottomBottom.stl
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diff --git a/3D/LEFT/COXA/SideBottom.stl b/3D/LEFT/COXA/SideBottom.stl
new file mode 100755
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new file mode 100755
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diff --git a/3D/LEFT/LeftLegGreen.stl b/3D/LEFT/LeftLegGreen.stl
new file mode 100755
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diff --git a/3D/RIGHT/COXA/HornHolder.stl b/3D/RIGHT/COXA/HornHolder.stl
new file mode 100755
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diff --git a/3D/RIGHT/RightLegGreen.stl b/3D/RIGHT/RightLegGreen.stl
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diff --git a/3D/RIGHT/TIBIA/TibiaEndBottom.stl b/3D/RIGHT/TIBIA/TibiaEndBottom.stl
new file mode 100755
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diff --git a/3D/RIGHT/TIBIA/TibiaEndTop.stl b/3D/RIGHT/TIBIA/TibiaEndTop.stl
new file mode 100755
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diff --git a/3D/RIGHT/TIBIA/TopMiddle.stl b/3D/RIGHT/TIBIA/TopMiddle.stl
new file mode 100755
index 0000000000000000000000000000000000000000..93d2cf8a26156a5b626aa730d482312ded6622ec
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diff --git a/3DV2/LEG/LEFT/BLACK/Coxa Left - BearingHolder.stl b/3DV2/LEG/LEFT/BLACK/Coxa Left - BearingHolder.stl
new file mode 100755
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diff --git a/3DV2/LEG/LEFT/BLACK/Coxa Left - Middle.stl b/3DV2/LEG/LEFT/BLACK/Coxa Left - Middle.stl
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diff --git a/3DV2/LEG/LEFT/BLACK/Femur Left - Bottom.stl b/3DV2/LEG/LEFT/BLACK/Femur Left - Bottom.stl
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diff --git a/3DV2/LEG/LEFT/BLACK/Femur Left - Top.stl b/3DV2/LEG/LEFT/BLACK/Femur Left - Top.stl
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diff --git a/3DV2/LEG/LEFT/BLACK/Tibia Left - EndTop.stl b/3DV2/LEG/LEFT/BLACK/Tibia Left - EndTop.stl
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diff --git a/3DV2/LEG/LEFT/BLACK/Tibia Left - MiddleMiddle.stl b/3DV2/LEG/LEFT/BLACK/Tibia Left - MiddleMiddle.stl
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diff --git a/3DV2/LEG/LEFT/GREEN/Body - ServoBearingHolder.stl b/3DV2/LEG/LEFT/GREEN/Body - ServoBearingHolder.stl
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diff --git a/3DV2/LEG/LEFT/GREEN/Coxa Left - ServoBearingHolder.stl b/3DV2/LEG/LEFT/GREEN/Coxa Left - ServoBearingHolder.stl
new file mode 100755
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diff --git a/3DV2/LEG/LEFT/GREEN/Coxa Left - ServoBearingHolder2.stl b/3DV2/LEG/LEFT/GREEN/Coxa Left - ServoBearingHolder2.stl
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diff --git a/3DV2/LEG/LEFT/GREEN/Coxa Left - Tensioner.stl b/3DV2/LEG/LEFT/GREEN/Coxa Left - Tensioner.stl
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diff --git a/3DV2/LEG/LEFT/GREEN/Femur Left - Middle.stl b/3DV2/LEG/LEFT/GREEN/Femur Left - Middle.stl
new file mode 100755
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diff --git a/3DV2/LEG/LEFT/GREEN/Femur Left - ServoBearingHolder3.stl b/3DV2/LEG/LEFT/GREEN/Femur Left - ServoBearingHolder3.stl
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diff --git a/3DV2/LEG/LEFT/GREEN/Tibia Left - TopBottom.stl b/3DV2/LEG/LEFT/GREEN/Tibia Left - TopBottom.stl
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diff --git a/3DV2/LEG/RIGHT/BLACK/Coxa Right - Middle.stl b/3DV2/LEG/RIGHT/BLACK/Coxa Right - Middle.stl
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diff --git a/3DV2/LEG/RIGHT/GREEN/Coxa Right - ServoBearingHolder.stl b/3DV2/LEG/RIGHT/GREEN/Coxa Right - ServoBearingHolder.stl
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diff --git a/3DV2/LEG/RIGHT/GREEN/Right Leg.3mf b/3DV2/LEG/RIGHT/GREEN/Right Leg.3mf
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diff --git a/3DV2/LEG/RIGHT/GREEN/Tibia Right - BottomBottom.stl b/3DV2/LEG/RIGHT/GREEN/Tibia Right - BottomBottom.stl
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diff --git a/3DV2/urdf/assets/body.part b/3DV2/urdf/assets/body.part
new file mode 100644
index 0000000..134f91a
--- /dev/null
+++ b/3DV2/urdf/assets/body.part
@@ -0,0 +1,13 @@
+{
+    "configuration": "default",
+    "documentId": "ed0a3b786fedc3f5a347f5b7",
+    "documentMicroversion": "f57a94a4fea42ed7556b7dba",
+    "elementId": "146bbab0692e9f239aec3d70",
+    "fullConfiguration": "default",
+    "id": "MtOrKNBIMUYTFVI92",
+    "isStandardContent": false,
+    "name": "body <1>",
+    "partId": "S4BXk",
+    "suppressed": false,
+    "type": "Part"
+}
\ No newline at end of file
diff --git a/3DV2/urdf/assets/body.stl b/3DV2/urdf/assets/body.stl
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diff --git a/3DV2/urdf/assets/coxa.part b/3DV2/urdf/assets/coxa.part
new file mode 100644
index 0000000..af5bdf3
--- /dev/null
+++ b/3DV2/urdf/assets/coxa.part
@@ -0,0 +1,13 @@
+{
+    "configuration": "default",
+    "documentId": "ed0a3b786fedc3f5a347f5b7",
+    "documentMicroversion": "f57a94a4fea42ed7556b7dba",
+    "elementId": "4d9ee55a87f6d7d9fad606e1",
+    "fullConfiguration": "default",
+    "id": "M1zS0Pjy1uGe7Kay+",
+    "isStandardContent": false,
+    "name": "coxa <4>",
+    "partId": "RADf",
+    "suppressed": false,
+    "type": "Part"
+}
\ No newline at end of file
diff --git a/3DV2/urdf/assets/coxa.stl b/3DV2/urdf/assets/coxa.stl
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diff --git a/3DV2/urdf/assets/coxa__2.part b/3DV2/urdf/assets/coxa__2.part
new file mode 100644
index 0000000..c0e948f
--- /dev/null
+++ b/3DV2/urdf/assets/coxa__2.part
@@ -0,0 +1,13 @@
+{
+    "configuration": "default",
+    "documentId": "ed0a3b786fedc3f5a347f5b7",
+    "documentMicroversion": "f57a94a4fea42ed7556b7dba",
+    "elementId": "3dd49b7ff17a5efa716a1a9c",
+    "fullConfiguration": "default",
+    "id": "MsYLJvNKZFtLmR5J2",
+    "isStandardContent": false,
+    "name": "coxa <6>",
+    "partId": "RYDL",
+    "suppressed": false,
+    "type": "Part"
+}
\ No newline at end of file
diff --git a/3DV2/urdf/assets/coxa__2.stl b/3DV2/urdf/assets/coxa__2.stl
new file mode 100644
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diff --git a/3DV2/urdf/assets/femur.part b/3DV2/urdf/assets/femur.part
new file mode 100644
index 0000000..cd3b3bf
--- /dev/null
+++ b/3DV2/urdf/assets/femur.part
@@ -0,0 +1,13 @@
+{
+    "configuration": "default",
+    "documentId": "ed0a3b786fedc3f5a347f5b7",
+    "documentMicroversion": "f57a94a4fea42ed7556b7dba",
+    "elementId": "2d2e4344d46300191ba32ba6",
+    "fullConfiguration": "default",
+    "id": "M2P88JoDrZUkmwu09",
+    "isStandardContent": false,
+    "name": "femur <4>",
+    "partId": "RtDf",
+    "suppressed": false,
+    "type": "Part"
+}
\ No newline at end of file
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diff --git a/3DV2/urdf/assets/femur__2.part b/3DV2/urdf/assets/femur__2.part
new file mode 100644
index 0000000..e255a45
--- /dev/null
+++ b/3DV2/urdf/assets/femur__2.part
@@ -0,0 +1,13 @@
+{
+    "configuration": "default",
+    "documentId": "ed0a3b786fedc3f5a347f5b7",
+    "documentMicroversion": "f57a94a4fea42ed7556b7dba",
+    "elementId": "754e7fb04dd8060a86413d63",
+    "fullConfiguration": "default",
+    "id": "M7yPzAffUhgBrSPSU",
+    "isStandardContent": false,
+    "name": "femur <6>",
+    "partId": "R1DX",
+    "suppressed": false,
+    "type": "Part"
+}
\ No newline at end of file
diff --git a/3DV2/urdf/assets/femur__2.stl b/3DV2/urdf/assets/femur__2.stl
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diff --git a/3DV2/urdf/assets/tibia.part b/3DV2/urdf/assets/tibia.part
new file mode 100644
index 0000000..45efaa5
--- /dev/null
+++ b/3DV2/urdf/assets/tibia.part
@@ -0,0 +1,13 @@
+{
+    "configuration": "default",
+    "documentId": "ed0a3b786fedc3f5a347f5b7",
+    "documentMicroversion": "f57a94a4fea42ed7556b7dba",
+    "elementId": "a4763a019883de81f1470c6f",
+    "fullConfiguration": "default",
+    "id": "M36cjh7Y+TWjney3H",
+    "isStandardContent": false,
+    "name": "tibia <4>",
+    "partId": "RmEP",
+    "suppressed": false,
+    "type": "Part"
+}
\ No newline at end of file
diff --git a/3DV2/urdf/assets/tibia.stl b/3DV2/urdf/assets/tibia.stl
new file mode 100644
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diff --git a/3DV2/urdf/assets/tibia__2.part b/3DV2/urdf/assets/tibia__2.part
new file mode 100644
index 0000000..5a434ed
--- /dev/null
+++ b/3DV2/urdf/assets/tibia__2.part
@@ -0,0 +1,13 @@
+{
+    "configuration": "default",
+    "documentId": "ed0a3b786fedc3f5a347f5b7",
+    "documentMicroversion": "f57a94a4fea42ed7556b7dba",
+    "elementId": "a42760ede9763eea7ad60151",
+    "fullConfiguration": "default",
+    "id": "MHhLAY6k5vbrH0X3J",
+    "isStandardContent": false,
+    "name": "tibia <6>",
+    "partId": "RFFH",
+    "suppressed": false,
+    "type": "Part"
+}
\ No newline at end of file
diff --git a/3DV2/urdf/assets/tibia__2.stl b/3DV2/urdf/assets/tibia__2.stl
new file mode 100644
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diff --git a/3DV2/urdf/blender/body.mtl b/3DV2/urdf/blender/body.mtl
new file mode 100644
index 0000000..9231521
--- /dev/null
+++ b/3DV2/urdf/blender/body.mtl
@@ -0,0 +1,12 @@
+# Blender 5.0.0 MTL File: 'urdf.blend'
+# www.blender.org
+
+newmtl 0.301961_0.301961_0.301961_0.000000_0.006
+Ns 0.000000
+Ka 1.000000 1.000000 1.000000
+Kd 0.302000 0.302000 0.302000
+Ks 0.000000 0.000000 0.000000
+Ke 0.000000 0.000000 0.000000
+Ni 1.500000
+d 1.000000
+illum 1
diff --git a/3DV2/urdf/blender/body.obj b/3DV2/urdf/blender/body.obj
new file mode 100644
index 0000000..f59052a
--- /dev/null
+++ b/3DV2/urdf/blender/body.obj
@@ -0,0 +1,75302 @@
+# Blender 5.0.0
+# www.blender.org
+mtllib body.mtl
+o body
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diff --git a/3DV2/urdf/blender/coxa.mtl b/3DV2/urdf/blender/coxa.mtl
new file mode 100644
index 0000000..ad23b12
--- /dev/null
+++ b/3DV2/urdf/blender/coxa.mtl
@@ -0,0 +1,12 @@
+# Blender 5.0.0 MTL File: 'urdf.blend'
+# www.blender.org
+
+newmtl 0.513725_0.737255_0.407843_0.000000_0.003
+Ns 0.000000
+Ka 1.000000 1.000000 1.000000
+Kd 0.513700 0.737300 0.407800
+Ks 0.000000 0.000000 0.000000
+Ke 0.000000 0.000000 0.000000
+Ni 1.500000
+d 1.000000
+illum 1
diff --git a/3DV2/urdf/blender/coxa.obj b/3DV2/urdf/blender/coxa.obj
new file mode 100644
index 0000000..19bb004
--- /dev/null
+++ b/3DV2/urdf/blender/coxa.obj
@@ -0,0 +1,6299 @@
+# Blender 5.0.0
+# www.blender.org
+mtllib coxa.mtl
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diff --git a/3DV2/urdf/blender/coxa__2.mtl b/3DV2/urdf/blender/coxa__2.mtl
new file mode 100644
index 0000000..fa2f4ca
--- /dev/null
+++ b/3DV2/urdf/blender/coxa__2.mtl
@@ -0,0 +1,12 @@
+# Blender 5.0.0 MTL File: 'urdf.blend'
+# www.blender.org
+
+newmtl 0.513725_0.737255_0.407843_0.000000_0.004
+Ns 0.000000
+Ka 1.000000 1.000000 1.000000
+Kd 0.513700 0.737300 0.407800
+Ks 0.000000 0.000000 0.000000
+Ke 0.000000 0.000000 0.000000
+Ni 1.500000
+d 1.000000
+illum 1
diff --git a/3DV2/urdf/blender/coxa__2.obj b/3DV2/urdf/blender/coxa__2.obj
new file mode 100644
index 0000000..9d06222
--- /dev/null
+++ b/3DV2/urdf/blender/coxa__2.obj
@@ -0,0 +1,6297 @@
+# Blender 5.0.0
+# www.blender.org
+mtllib coxa__2.mtl
+o coxa__2
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diff --git a/3DV2/urdf/blender/femur.mtl b/3DV2/urdf/blender/femur.mtl
new file mode 100644
index 0000000..2f34302
--- /dev/null
+++ b/3DV2/urdf/blender/femur.mtl
@@ -0,0 +1,12 @@
+# Blender 5.0.0 MTL File: 'urdf.blend'
+# www.blender.org
+
+newmtl 0.301961_0.301961_0.301961_0.000000_0.007
+Ns 0.000000
+Ka 1.000000 1.000000 1.000000
+Kd 0.302000 0.302000 0.302000
+Ks 0.000000 0.000000 0.000000
+Ke 0.000000 0.000000 0.000000
+Ni 1.500000
+d 1.000000
+illum 1
diff --git a/3DV2/urdf/blender/femur.obj b/3DV2/urdf/blender/femur.obj
new file mode 100644
index 0000000..8363b65
--- /dev/null
+++ b/3DV2/urdf/blender/femur.obj
@@ -0,0 +1,8517 @@
+# Blender 5.0.0
+# www.blender.org
+mtllib femur.mtl
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diff --git a/3DV2/urdf/blender/femur__2.mtl b/3DV2/urdf/blender/femur__2.mtl
new file mode 100644
index 0000000..16f58c5
--- /dev/null
+++ b/3DV2/urdf/blender/femur__2.mtl
@@ -0,0 +1,12 @@
+# Blender 5.0.0 MTL File: 'urdf.blend'
+# www.blender.org
+
+newmtl 0.301961_0.301961_0.301961_0.000000_0.008
+Ns 0.000000
+Ka 1.000000 1.000000 1.000000
+Kd 0.302000 0.302000 0.302000
+Ks 0.000000 0.000000 0.000000
+Ke 0.000000 0.000000 0.000000
+Ni 1.500000
+d 1.000000
+illum 1
diff --git a/3DV2/urdf/blender/femur__2.obj b/3DV2/urdf/blender/femur__2.obj
new file mode 100644
index 0000000..97d981c
--- /dev/null
+++ b/3DV2/urdf/blender/femur__2.obj
@@ -0,0 +1,8518 @@
+# Blender 5.0.0
+# www.blender.org
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diff --git a/3DV2/urdf/blender/tibia.mtl b/3DV2/urdf/blender/tibia.mtl
new file mode 100644
index 0000000..e3ecfb5
--- /dev/null
+++ b/3DV2/urdf/blender/tibia.mtl
@@ -0,0 +1,12 @@
+# Blender 5.0.0 MTL File: 'urdf.blend'
+# www.blender.org
+
+newmtl 0.513725_0.737255_0.407843_0.000000_0.005
+Ns 0.000000
+Ka 1.000000 1.000000 1.000000
+Kd 0.513700 0.737300 0.407800
+Ks 0.000000 0.000000 0.000000
+Ke 0.000000 0.000000 0.000000
+Ni 1.500000
+d 1.000000
+illum 1
diff --git a/3DV2/urdf/blender/tibia.obj b/3DV2/urdf/blender/tibia.obj
new file mode 100644
index 0000000..950261e
--- /dev/null
+++ b/3DV2/urdf/blender/tibia.obj
@@ -0,0 +1,14036 @@
+# Blender 5.0.0
+# www.blender.org
+mtllib tibia.mtl
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diff --git a/3DV2/urdf/blender/tibia__2.mtl b/3DV2/urdf/blender/tibia__2.mtl
new file mode 100644
index 0000000..6bed621
--- /dev/null
+++ b/3DV2/urdf/blender/tibia__2.mtl
@@ -0,0 +1,12 @@
+# Blender 5.0.0 MTL File: 'urdf.blend'
+# www.blender.org
+
+newmtl 0.513725_0.737255_0.407843_0.000000_0.006
+Ns 0.000000
+Ka 1.000000 1.000000 1.000000
+Kd 0.513700 0.737300 0.407800
+Ks 0.000000 0.000000 0.000000
+Ke 0.000000 0.000000 0.000000
+Ni 1.500000
+d 1.000000
+illum 1
diff --git a/3DV2/urdf/blender/tibia__2.obj b/3DV2/urdf/blender/tibia__2.obj
new file mode 100644
index 0000000..2dc828a
--- /dev/null
+++ b/3DV2/urdf/blender/tibia__2.obj
@@ -0,0 +1,14035 @@
+# Blender 5.0.0
+# www.blender.org
+mtllib tibia__2.mtl
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diff --git a/3DV2/urdf/config.json b/3DV2/urdf/config.json
new file mode 100755
index 0000000..dd7a41a
--- /dev/null
+++ b/3DV2/urdf/config.json
@@ -0,0 +1,6 @@
+{
+    // Onshape URL of the assembly
+    "url": "https://cad.onshape.com/documents/ed0a3b786fedc3f5a347f5b7/w/3def9d92618f589fa5e565cb/e/08b151d8d146e7283193b0e7",
+    // Output format
+    "output_format": "urdf"
+}
\ No newline at end of file
diff --git a/3DV2/urdf/env b/3DV2/urdf/env
new file mode 100755
index 0000000..6b9ef8b
--- /dev/null
+++ b/3DV2/urdf/env
@@ -0,0 +1,3 @@
+export ONSHAPE_API=https://cad.onshape.com
+export ONSHAPE_ACCESS_KEY=on_Tr2aRYrm9mPKBgfpDCpqT
+export ONSHAPE_SECRET_KEY=w3BQKp02hfxlGnJWsLZzGGsdFBuMdfuefLkQsBSAOBAfySgr
\ No newline at end of file
diff --git a/3DV2/urdf/glb/base.glb b/3DV2/urdf/glb/base.glb
new file mode 100644
index 0000000000000000000000000000000000000000..f91c9a866fb1583851fd524ba49a8e0b2617b42e
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diff --git a/3DV2/urdf/glb/coxa.glb b/3DV2/urdf/glb/coxa.glb
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diff --git a/3DV2/urdf/obj/body.mtl b/3DV2/urdf/obj/body.mtl
new file mode 100644
index 0000000..9231521
--- /dev/null
+++ b/3DV2/urdf/obj/body.mtl
@@ -0,0 +1,12 @@
+# Blender 5.0.0 MTL File: 'urdf.blend'
+# www.blender.org
+
+newmtl 0.301961_0.301961_0.301961_0.000000_0.006
+Ns 0.000000
+Ka 1.000000 1.000000 1.000000
+Kd 0.302000 0.302000 0.302000
+Ks 0.000000 0.000000 0.000000
+Ke 0.000000 0.000000 0.000000
+Ni 1.500000
+d 1.000000
+illum 1
diff --git a/3DV2/urdf/obj/body.obj b/3DV2/urdf/obj/body.obj
new file mode 100644
index 0000000..f59052a
--- /dev/null
+++ b/3DV2/urdf/obj/body.obj
@@ -0,0 +1,75302 @@
+# Blender 5.0.0
+# www.blender.org
+mtllib body.mtl
+o body
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diff --git a/3DV2/urdf/obj/coxa.mtl b/3DV2/urdf/obj/coxa.mtl
new file mode 100644
index 0000000..ad23b12
--- /dev/null
+++ b/3DV2/urdf/obj/coxa.mtl
@@ -0,0 +1,12 @@
+# Blender 5.0.0 MTL File: 'urdf.blend'
+# www.blender.org
+
+newmtl 0.513725_0.737255_0.407843_0.000000_0.003
+Ns 0.000000
+Ka 1.000000 1.000000 1.000000
+Kd 0.513700 0.737300 0.407800
+Ks 0.000000 0.000000 0.000000
+Ke 0.000000 0.000000 0.000000
+Ni 1.500000
+d 1.000000
+illum 1
diff --git a/3DV2/urdf/obj/coxa.obj b/3DV2/urdf/obj/coxa.obj
new file mode 100644
index 0000000..19bb004
--- /dev/null
+++ b/3DV2/urdf/obj/coxa.obj
@@ -0,0 +1,6299 @@
+# Blender 5.0.0
+# www.blender.org
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diff --git a/3DV2/urdf/obj/coxa__2.mtl b/3DV2/urdf/obj/coxa__2.mtl
new file mode 100644
index 0000000..fa2f4ca
--- /dev/null
+++ b/3DV2/urdf/obj/coxa__2.mtl
@@ -0,0 +1,12 @@
+# Blender 5.0.0 MTL File: 'urdf.blend'
+# www.blender.org
+
+newmtl 0.513725_0.737255_0.407843_0.000000_0.004
+Ns 0.000000
+Ka 1.000000 1.000000 1.000000
+Kd 0.513700 0.737300 0.407800
+Ks 0.000000 0.000000 0.000000
+Ke 0.000000 0.000000 0.000000
+Ni 1.500000
+d 1.000000
+illum 1
diff --git a/3DV2/urdf/obj/coxa__2.obj b/3DV2/urdf/obj/coxa__2.obj
new file mode 100644
index 0000000..9d06222
--- /dev/null
+++ b/3DV2/urdf/obj/coxa__2.obj
@@ -0,0 +1,6297 @@
+# Blender 5.0.0
+# www.blender.org
+mtllib coxa__2.mtl
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diff --git a/3DV2/urdf/obj/femur.mtl b/3DV2/urdf/obj/femur.mtl
new file mode 100644
index 0000000..2f34302
--- /dev/null
+++ b/3DV2/urdf/obj/femur.mtl
@@ -0,0 +1,12 @@
+# Blender 5.0.0 MTL File: 'urdf.blend'
+# www.blender.org
+
+newmtl 0.301961_0.301961_0.301961_0.000000_0.007
+Ns 0.000000
+Ka 1.000000 1.000000 1.000000
+Kd 0.302000 0.302000 0.302000
+Ks 0.000000 0.000000 0.000000
+Ke 0.000000 0.000000 0.000000
+Ni 1.500000
+d 1.000000
+illum 1
diff --git a/3DV2/urdf/obj/femur.obj b/3DV2/urdf/obj/femur.obj
new file mode 100644
index 0000000..8363b65
--- /dev/null
+++ b/3DV2/urdf/obj/femur.obj
@@ -0,0 +1,8517 @@
+# Blender 5.0.0
+# www.blender.org
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diff --git a/3DV2/urdf/obj/femur__2.mtl b/3DV2/urdf/obj/femur__2.mtl
new file mode 100644
index 0000000..16f58c5
--- /dev/null
+++ b/3DV2/urdf/obj/femur__2.mtl
@@ -0,0 +1,12 @@
+# Blender 5.0.0 MTL File: 'urdf.blend'
+# www.blender.org
+
+newmtl 0.301961_0.301961_0.301961_0.000000_0.008
+Ns 0.000000
+Ka 1.000000 1.000000 1.000000
+Kd 0.302000 0.302000 0.302000
+Ks 0.000000 0.000000 0.000000
+Ke 0.000000 0.000000 0.000000
+Ni 1.500000
+d 1.000000
+illum 1
diff --git a/3DV2/urdf/obj/femur__2.obj b/3DV2/urdf/obj/femur__2.obj
new file mode 100644
index 0000000..97d981c
--- /dev/null
+++ b/3DV2/urdf/obj/femur__2.obj
@@ -0,0 +1,8518 @@
+# Blender 5.0.0
+# www.blender.org
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diff --git a/3DV2/urdf/obj/tibia.mtl b/3DV2/urdf/obj/tibia.mtl
new file mode 100644
index 0000000..e3ecfb5
--- /dev/null
+++ b/3DV2/urdf/obj/tibia.mtl
@@ -0,0 +1,12 @@
+# Blender 5.0.0 MTL File: 'urdf.blend'
+# www.blender.org
+
+newmtl 0.513725_0.737255_0.407843_0.000000_0.005
+Ns 0.000000
+Ka 1.000000 1.000000 1.000000
+Kd 0.513700 0.737300 0.407800
+Ks 0.000000 0.000000 0.000000
+Ke 0.000000 0.000000 0.000000
+Ni 1.500000
+d 1.000000
+illum 1
diff --git a/3DV2/urdf/obj/tibia.obj b/3DV2/urdf/obj/tibia.obj
new file mode 100644
index 0000000..950261e
--- /dev/null
+++ b/3DV2/urdf/obj/tibia.obj
@@ -0,0 +1,14036 @@
+# Blender 5.0.0
+# www.blender.org
+mtllib tibia.mtl
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diff --git a/3DV2/urdf/obj/tibia__2.mtl b/3DV2/urdf/obj/tibia__2.mtl
new file mode 100644
index 0000000..6bed621
--- /dev/null
+++ b/3DV2/urdf/obj/tibia__2.mtl
@@ -0,0 +1,12 @@
+# Blender 5.0.0 MTL File: 'urdf.blend'
+# www.blender.org
+
+newmtl 0.513725_0.737255_0.407843_0.000000_0.006
+Ns 0.000000
+Ka 1.000000 1.000000 1.000000
+Kd 0.513700 0.737300 0.407800
+Ks 0.000000 0.000000 0.000000
+Ke 0.000000 0.000000 0.000000
+Ni 1.500000
+d 1.000000
+illum 1
diff --git a/3DV2/urdf/obj/tibia__2.obj b/3DV2/urdf/obj/tibia__2.obj
new file mode 100644
index 0000000..2dc828a
--- /dev/null
+++ b/3DV2/urdf/obj/tibia__2.obj
@@ -0,0 +1,14035 @@
+# Blender 5.0.0
+# www.blender.org
+mtllib tibia__2.mtl
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diff --git a/3DV2/urdf/robot.urdf b/3DV2/urdf/robot.urdf
new file mode 100644
index 0000000..c0d759d
--- /dev/null
+++ b/3DV2/urdf/robot.urdf
@@ -0,0 +1,605 @@
+<?xml version="1.0" ?>
+<!-- Generated using onshape-to-robot -->
+<!-- Onshape https://cad.onshape.com/documents/ed0a3b786fedc3f5a347f5b7/w/3def9d92618f589fa5e565cb/e/08b151d8d146e7283193b0e7 -->
+<robot name="urdf">
+  <!-- Link body -->
+  <link name="body">
+    <inertial>
+      <origin xyz="0 0 0" rpy="0 0 0"/>
+      <mass value="1e-09"/>
+      <inertia ixx="1e-09" ixy="0" ixz="0" iyy="1e-09" iyz="0" izz="1e-09"/>
+    </inertial>
+    <!-- Part body -->
+    <visual>
+      <origin xyz="0 0 0" rpy="0 -0 0"/>
+      <geometry>
+        <mesh filename="package://assets/body.stl"/>
+      </geometry>
+      <material name="body_material">
+        <color rgba="0.301961 0.301961 0.301961 1"/>
+      </material>
+    </visual>
+    <collision>
+      <origin xyz="0 0 0" rpy="0 -0 0"/>
+      <geometry>
+        <mesh filename="package://assets/body.stl"/>
+      </geometry>
+    </collision>
+  </link>
+  <!-- Link coxa -->
+  <link name="coxa">
+    <inertial>
+      <origin xyz="0 0 0" rpy="0 0 0"/>
+      <mass value="1e-09"/>
+      <inertia ixx="1e-09" ixy="0" ixz="0" iyy="1e-09" iyz="0" izz="1e-09"/>
+    </inertial>
+    <!-- Part coxa -->
+    <visual>
+      <origin xyz="6.74047e-19 0.115 0.0077" rpy="-2.36791e-29 -5.53584e-32 -6.76797e-61"/>
+      <geometry>
+        <mesh filename="package://assets/coxa.stl"/>
+      </geometry>
+      <material name="coxa_material">
+        <color rgba="0.301961 0.301961 0.301961 1"/>
+      </material>
+    </visual>
+    <collision>
+      <origin xyz="6.74047e-19 0.115 0.0077" rpy="-2.36791e-29 -5.53584e-32 -6.76797e-61"/>
+      <geometry>
+        <mesh filename="package://assets/coxa.stl"/>
+      </geometry>
+    </collision>
+  </link>
+  <!-- Link femur -->
+  <link name="femur">
+    <inertial>
+      <origin xyz="0 0 0" rpy="0 0 0"/>
+      <mass value="1e-09"/>
+      <inertia ixx="1e-09" ixy="0" ixz="0" iyy="1e-09" iyz="0" izz="1e-09"/>
+    </inertial>
+    <!-- Part femur -->
+    <visual>
+      <origin xyz="0.179985 0.00789783 0.01525" rpy="1.56886 1.5708 0"/>
+      <geometry>
+        <mesh filename="package://assets/femur.stl"/>
+      </geometry>
+      <material name="femur_material">
+        <color rgba="0.301961 0.301961 0.301961 1"/>
+      </material>
+    </visual>
+    <collision>
+      <origin xyz="0.179985 0.00789783 0.01525" rpy="1.56886 1.5708 0"/>
+      <geometry>
+        <mesh filename="package://assets/femur.stl"/>
+      </geometry>
+    </collision>
+  </link>
+  <!-- Link tibia -->
+  <link name="tibia">
+    <inertial>
+      <origin xyz="0 0 0" rpy="0 0 0"/>
+      <mass value="1e-09"/>
+      <inertia ixx="1e-09" ixy="0" ixz="0" iyy="1e-09" iyz="0" izz="1e-09"/>
+    </inertial>
+    <!-- Part tibia -->
+    <visual>
+      <origin xyz="0.3 -0.00755 -0.01525" rpy="-1.5708 -1.5708 0"/>
+      <geometry>
+        <mesh filename="package://assets/tibia.stl"/>
+      </geometry>
+      <material name="tibia_material">
+        <color rgba="0.513725 0.737255 0.407843 1"/>
+      </material>
+    </visual>
+    <collision>
+      <origin xyz="0.3 -0.00755 -0.01525" rpy="-1.5708 -1.5708 0"/>
+      <geometry>
+        <mesh filename="package://assets/tibia.stl"/>
+      </geometry>
+    </collision>
+  </link>
+  <!-- Joint from femur to tibia -->
+  <joint name="Tibia2" type="revolute">
+    <origin xyz="-0.12 -0.000231897 -5.20417e-18" rpy="3.14159 -1.01374e-16 5.55112e-17"/>
+    <parent link="femur"/>
+    <child link="tibia"/>
+    <axis xyz="0 0 1"/>
+    <limit effort="10" velocity="10" lower="-3.141592653589793" upper="3.141592653589793"/>
+  </joint>
+  <!-- Joint from coxa to femur -->
+  <joint name="Femur2" type="revolute">
+    <origin xyz="0.01515 -0.065 0.01525" rpy="-1.5708 2.36791e-29 1.5708"/>
+    <parent link="coxa"/>
+    <child link="femur"/>
+    <axis xyz="0 0 1"/>
+    <limit effort="10" velocity="10" lower="-3.141592653589793" upper="3.141592653589793"/>
+  </joint>
+  <!-- Joint from body to coxa -->
+  <joint name="Coxa2" type="revolute">
+    <origin xyz="0 -0.115 -0.0077" rpy="0 -0 0"/>
+    <parent link="body"/>
+    <child link="coxa"/>
+    <axis xyz="0 0 1"/>
+    <limit effort="10" velocity="10" lower="-3.141592653589793" upper="3.141592653589793"/>
+  </joint>
+  <!-- Link coxa_2 -->
+  <link name="coxa_2">
+    <inertial>
+      <origin xyz="0 0 0" rpy="0 0 0"/>
+      <mass value="1e-09"/>
+      <inertia ixx="1e-09" ixy="0" ixz="0" iyy="1e-09" iyz="0" izz="1e-09"/>
+    </inertial>
+    <!-- Part coxa_2 -->
+    <visual>
+      <origin xyz="0 -0.115 0.0077" rpy="0 -0 0"/>
+      <geometry>
+        <mesh filename="package://assets/coxa__2.stl"/>
+      </geometry>
+      <material name="coxa_2_material">
+        <color rgba="0.301961 0.301961 0.301961 1"/>
+      </material>
+    </visual>
+    <collision>
+      <origin xyz="0 -0.115 0.0077" rpy="0 -0 0"/>
+      <geometry>
+        <mesh filename="package://assets/coxa__2.stl"/>
+      </geometry>
+    </collision>
+  </link>
+  <!-- Link femur_2 -->
+  <link name="femur_2">
+    <inertial>
+      <origin xyz="0 0 0" rpy="0 0 0"/>
+      <mass value="1e-09"/>
+      <inertia ixx="1e-09" ixy="0" ixz="0" iyy="1e-09" iyz="0" izz="1e-09"/>
+    </inertial>
+    <!-- Part femur_2 -->
+    <visual>
+      <origin xyz="-0.18 0.00755 0.01525" rpy="1.5708 1.5708 0"/>
+      <geometry>
+        <mesh filename="package://assets/femur__2.stl"/>
+      </geometry>
+      <material name="femur_2_material">
+        <color rgba="0.301961 0.301961 0.301961 1"/>
+      </material>
+    </visual>
+    <collision>
+      <origin xyz="-0.18 0.00755 0.01525" rpy="1.5708 1.5708 0"/>
+      <geometry>
+        <mesh filename="package://assets/femur__2.stl"/>
+      </geometry>
+    </collision>
+  </link>
+  <!-- Link tibia_2 -->
+  <link name="tibia_2">
+    <inertial>
+      <origin xyz="0 0 0" rpy="0 0 0"/>
+      <mass value="1e-09"/>
+      <inertia ixx="1e-09" ixy="0" ixz="0" iyy="1e-09" iyz="0" izz="1e-09"/>
+    </inertial>
+    <!-- Part tibia_2 -->
+    <visual>
+      <origin xyz="-0.3 -0.00755 -0.01525" rpy="-1.5708 -1.5708 0"/>
+      <geometry>
+        <mesh filename="package://assets/tibia__2.stl"/>
+      </geometry>
+      <material name="tibia_2_material">
+        <color rgba="0.513725 0.737255 0.407843 1"/>
+      </material>
+    </visual>
+    <collision>
+      <origin xyz="-0.3 -0.00755 -0.01525" rpy="-1.5708 -1.5708 0"/>
+      <geometry>
+        <mesh filename="package://assets/tibia__2.stl"/>
+      </geometry>
+    </collision>
+  </link>
+  <!-- Joint from femur_2 to tibia_2 -->
+  <joint name="Tibia5" type="revolute">
+    <origin xyz="0.12 -8.67362e-19 -5.20417e-18" rpy="3.14159 1.01374e-16 0"/>
+    <parent link="femur_2"/>
+    <child link="tibia_2"/>
+    <axis xyz="0 0 1"/>
+    <limit effort="10" velocity="10" lower="-3.141592653589793" upper="3.141592653589793"/>
+  </joint>
+  <!-- Joint from coxa_2 to femur_2 -->
+  <joint name="Femur5" type="revolute">
+    <origin xyz="0.01515 0.065 0.01525" rpy="-1.5708 -0 1.5708"/>
+    <parent link="coxa_2"/>
+    <child link="femur_2"/>
+    <axis xyz="0 0 1"/>
+    <limit effort="10" velocity="10" lower="-3.141592653589793" upper="3.141592653589793"/>
+  </joint>
+  <!-- Joint from body to coxa_2 -->
+  <joint name="Coxa5" type="revolute">
+    <origin xyz="0 0.115 -0.0077" rpy="0 -0 0"/>
+    <parent link="body"/>
+    <child link="coxa_2"/>
+    <axis xyz="0 0 1"/>
+    <limit effort="10" velocity="10" lower="-3.141592653589793" upper="3.141592653589793"/>
+  </joint>
+  <!-- Link coxa_3 -->
+  <link name="coxa_3">
+    <inertial>
+      <origin xyz="0 0 0" rpy="0 0 0"/>
+      <mass value="1e-09"/>
+      <inertia ixx="1e-09" ixy="0" ixz="0" iyy="1e-09" iyz="0" izz="1e-09"/>
+    </inertial>
+    <!-- Part coxa_3 -->
+    <visual>
+      <origin xyz="-2.1684e-19 0.115 0.0077" rpy="-4.70198e-38 -9.40395e-38 -2.54791e-17"/>
+      <geometry>
+        <mesh filename="package://assets/coxa.stl"/>
+      </geometry>
+      <material name="coxa_3_material">
+        <color rgba="0.301961 0.301961 0.301961 1"/>
+      </material>
+    </visual>
+    <collision>
+      <origin xyz="-2.1684e-19 0.115 0.0077" rpy="-4.70198e-38 -9.40395e-38 -2.54791e-17"/>
+      <geometry>
+        <mesh filename="package://assets/coxa.stl"/>
+      </geometry>
+    </collision>
+  </link>
+  <!-- Link femur_3 -->
+  <link name="femur_3">
+    <inertial>
+      <origin xyz="0 0 0" rpy="0 0 0"/>
+      <mass value="1e-09"/>
+      <inertia ixx="1e-09" ixy="0" ixz="0" iyy="1e-09" iyz="0" izz="1e-09"/>
+    </inertial>
+    <!-- Part femur_3 -->
+    <visual>
+      <origin xyz="0.18 0.00755 0.01525" rpy="1.5708 1.5708 0"/>
+      <geometry>
+        <mesh filename="package://assets/femur.stl"/>
+      </geometry>
+      <material name="femur_3_material">
+        <color rgba="0.301961 0.301961 0.301961 1"/>
+      </material>
+    </visual>
+    <collision>
+      <origin xyz="0.18 0.00755 0.01525" rpy="1.5708 1.5708 0"/>
+      <geometry>
+        <mesh filename="package://assets/femur.stl"/>
+      </geometry>
+    </collision>
+  </link>
+  <!-- Link tibia_3 -->
+  <link name="tibia_3">
+    <inertial>
+      <origin xyz="0 0 0" rpy="0 0 0"/>
+      <mass value="1e-09"/>
+      <inertia ixx="1e-09" ixy="0" ixz="0" iyy="1e-09" iyz="0" izz="1e-09"/>
+    </inertial>
+    <!-- Part tibia_3 -->
+    <visual>
+      <origin xyz="0.3 -0.00755 -0.01525" rpy="-1.5708 -1.5708 0"/>
+      <geometry>
+        <mesh filename="package://assets/tibia.stl"/>
+      </geometry>
+      <material name="tibia_3_material">
+        <color rgba="0.513725 0.737255 0.407843 1"/>
+      </material>
+    </visual>
+    <collision>
+      <origin xyz="0.3 -0.00755 -0.01525" rpy="-1.5708 -1.5708 0"/>
+      <geometry>
+        <mesh filename="package://assets/tibia.stl"/>
+      </geometry>
+    </collision>
+  </link>
+  <!-- Joint from femur_3 to tibia_3 -->
+  <joint name="Tibia1" type="revolute">
+    <origin xyz="-0.12 -6.07153e-18 1.2837e-16" rpy="-3.14159 -7.72359e-16 -1.85502e-16"/>
+    <parent link="femur_3"/>
+    <child link="tibia_3"/>
+    <axis xyz="0 0 1"/>
+    <limit effort="10" velocity="10" lower="-3.141592653589793" upper="3.141592653589793"/>
+  </joint>
+  <!-- Joint from coxa_3 to femur_3 -->
+  <joint name="Femur1" type="revolute">
+    <origin xyz="0.01515 -0.065 0.01525" rpy="-1.5708 9.40395e-38 1.5708"/>
+    <parent link="coxa_3"/>
+    <child link="femur_3"/>
+    <axis xyz="0 0 1"/>
+    <limit effort="10" velocity="10" lower="-3.141592653589793" upper="3.141592653589793"/>
+  </joint>
+  <!-- Joint from body to coxa_3 -->
+  <joint name="Coxa1" type="revolute">
+    <origin xyz="-0.128172 -0.074 -0.0077" rpy="3.06739e-22 7.25872e-22 -1.05398"/>
+    <parent link="body"/>
+    <child link="coxa_3"/>
+    <axis xyz="0 0 1"/>
+    <limit effort="10" velocity="10" lower="-3.141592653589793" upper="3.141592653589793"/>
+  </joint>
+  <!-- Link coxa_4 -->
+  <link name="coxa_4">
+    <inertial>
+      <origin xyz="0 0 0" rpy="0 0 0"/>
+      <mass value="1e-09"/>
+      <inertia ixx="1e-09" ixy="0" ixz="0" iyy="1e-09" iyz="0" izz="1e-09"/>
+    </inertial>
+    <!-- Part coxa_4 -->
+    <visual>
+      <origin xyz="4.33681e-18 0.115 0.0077" rpy="1.11095e-31 -1.12906e-31 -1.43379e-17"/>
+      <geometry>
+        <mesh filename="package://assets/coxa.stl"/>
+      </geometry>
+      <material name="coxa_4_material">
+        <color rgba="0.301961 0.301961 0.301961 1"/>
+      </material>
+    </visual>
+    <collision>
+      <origin xyz="4.33681e-18 0.115 0.0077" rpy="1.11095e-31 -1.12906e-31 -1.43379e-17"/>
+      <geometry>
+        <mesh filename="package://assets/coxa.stl"/>
+      </geometry>
+    </collision>
+  </link>
+  <!-- Link femur_4 -->
+  <link name="femur_4">
+    <inertial>
+      <origin xyz="0 0 0" rpy="0 0 0"/>
+      <mass value="1e-09"/>
+      <inertia ixx="1e-09" ixy="0" ixz="0" iyy="1e-09" iyz="0" izz="1e-09"/>
+    </inertial>
+    <!-- Part femur_4 -->
+    <visual>
+      <origin xyz="0.18 0.00755 0.01525" rpy="1.5708 1.5708 0"/>
+      <geometry>
+        <mesh filename="package://assets/femur.stl"/>
+      </geometry>
+      <material name="femur_4_material">
+        <color rgba="0.301961 0.301961 0.301961 1"/>
+      </material>
+    </visual>
+    <collision>
+      <origin xyz="0.18 0.00755 0.01525" rpy="1.5708 1.5708 0"/>
+      <geometry>
+        <mesh filename="package://assets/femur.stl"/>
+      </geometry>
+    </collision>
+  </link>
+  <!-- Link tibia_4 -->
+  <link name="tibia_4">
+    <inertial>
+      <origin xyz="0 0 0" rpy="0 0 0"/>
+      <mass value="1e-09"/>
+      <inertia ixx="1e-09" ixy="0" ixz="0" iyy="1e-09" iyz="0" izz="1e-09"/>
+    </inertial>
+    <!-- Part tibia_4 -->
+    <visual>
+      <origin xyz="0.3 -0.00755 -0.01525" rpy="-1.5708 -1.5708 0"/>
+      <geometry>
+        <mesh filename="package://assets/tibia.stl"/>
+      </geometry>
+      <material name="tibia_4_material">
+        <color rgba="0.513725 0.737255 0.407843 1"/>
+      </material>
+    </visual>
+    <collision>
+      <origin xyz="0.3 -0.00755 -0.01525" rpy="-1.5708 -1.5708 0"/>
+      <geometry>
+        <mesh filename="package://assets/tibia.stl"/>
+      </geometry>
+    </collision>
+  </link>
+  <!-- Joint from femur_4 to tibia_4 -->
+  <joint name="Tibia3" type="revolute">
+    <origin xyz="-0.12 -7.11237e-17 -2.498e-16" rpy="3.14159 -2.91581e-15 6.63744e-16"/>
+    <parent link="femur_4"/>
+    <child link="tibia_4"/>
+    <axis xyz="0 0 1"/>
+    <limit effort="10" velocity="10" lower="-3.141592653589793" upper="3.141592653589793"/>
+  </joint>
+  <!-- Joint from coxa_4 to femur_4 -->
+  <joint name="Femur3" type="revolute">
+    <origin xyz="0.01515 -0.065 0.01525" rpy="-1.5708 -1.11095e-31 1.5708"/>
+    <parent link="coxa_4"/>
+    <child link="femur_4"/>
+    <axis xyz="0 0 1"/>
+    <limit effort="10" velocity="10" lower="-3.141592653589793" upper="3.141592653589793"/>
+  </joint>
+  <!-- Joint from body to coxa_4 -->
+  <joint name="Coxa3" type="revolute">
+    <origin xyz="0.128172 -0.074 -0.0077" rpy="1.36459e-15 7.45515e-16 1.07747"/>
+    <parent link="body"/>
+    <child link="coxa_4"/>
+    <axis xyz="0 0 1"/>
+    <limit effort="10" velocity="10" lower="-3.141592653589793" upper="3.141592653589793"/>
+  </joint>
+  <!-- Link coxa_5 -->
+  <link name="coxa_5">
+    <inertial>
+      <origin xyz="0 0 0" rpy="0 0 0"/>
+      <mass value="1e-09"/>
+      <inertia ixx="1e-09" ixy="0" ixz="0" iyy="1e-09" iyz="0" izz="1e-09"/>
+    </inertial>
+    <!-- Part coxa_5 -->
+    <visual>
+      <origin xyz="-4.33681e-18 -0.115 0.0077" rpy="1.41059e-37 -0 -9.37717e-17"/>
+      <geometry>
+        <mesh filename="package://assets/coxa__2.stl"/>
+      </geometry>
+      <material name="coxa_5_material">
+        <color rgba="0.301961 0.301961 0.301961 1"/>
+      </material>
+    </visual>
+    <collision>
+      <origin xyz="-4.33681e-18 -0.115 0.0077" rpy="1.41059e-37 -0 -9.37717e-17"/>
+      <geometry>
+        <mesh filename="package://assets/coxa__2.stl"/>
+      </geometry>
+    </collision>
+  </link>
+  <!-- Link femur_5 -->
+  <link name="femur_5">
+    <inertial>
+      <origin xyz="0 0 0" rpy="0 0 0"/>
+      <mass value="1e-09"/>
+      <inertia ixx="1e-09" ixy="0" ixz="0" iyy="1e-09" iyz="0" izz="1e-09"/>
+    </inertial>
+    <!-- Part femur_5 -->
+    <visual>
+      <origin xyz="-0.18 0.00755 0.01525" rpy="1.5708 1.5708 0"/>
+      <geometry>
+        <mesh filename="package://assets/femur__2.stl"/>
+      </geometry>
+      <material name="femur_5_material">
+        <color rgba="0.301961 0.301961 0.301961 1"/>
+      </material>
+    </visual>
+    <collision>
+      <origin xyz="-0.18 0.00755 0.01525" rpy="1.5708 1.5708 0"/>
+      <geometry>
+        <mesh filename="package://assets/femur__2.stl"/>
+      </geometry>
+    </collision>
+  </link>
+  <!-- Link tibia_5 -->
+  <link name="tibia_5">
+    <inertial>
+      <origin xyz="0 0 0" rpy="0 0 0"/>
+      <mass value="1e-09"/>
+      <inertia ixx="1e-09" ixy="0" ixz="0" iyy="1e-09" iyz="0" izz="1e-09"/>
+    </inertial>
+    <!-- Part tibia_5 -->
+    <visual>
+      <origin xyz="-0.3 -0.00755 -0.01525" rpy="-1.5708 -1.5708 0"/>
+      <geometry>
+        <mesh filename="package://assets/tibia__2.stl"/>
+      </geometry>
+      <material name="tibia_5_material">
+        <color rgba="0.513725 0.737255 0.407843 1"/>
+      </material>
+    </visual>
+    <collision>
+      <origin xyz="-0.3 -0.00755 -0.01525" rpy="-1.5708 -1.5708 0"/>
+      <geometry>
+        <mesh filename="package://assets/tibia__2.stl"/>
+      </geometry>
+    </collision>
+  </link>
+  <!-- Joint from femur_5 to tibia_5 -->
+  <joint name="Tibia6" type="revolute">
+    <origin xyz="0.12 4.33681e-18 -1.70003e-16" rpy="3.14159 1.49429e-15 9.18028e-17"/>
+    <parent link="femur_5"/>
+    <child link="tibia_5"/>
+    <axis xyz="0 0 1"/>
+    <limit effort="10" velocity="10" lower="-3.141592653589793" upper="3.141592653589793"/>
+  </joint>
+  <!-- Joint from coxa_5 to femur_5 -->
+  <joint name="Femur6" type="revolute">
+    <origin xyz="0.01515 0.065 0.01525" rpy="-1.5708 -1.88079e-37 1.5708"/>
+    <parent link="coxa_5"/>
+    <child link="femur_5"/>
+    <axis xyz="0 0 1"/>
+    <limit effort="10" velocity="10" lower="-3.141592653589793" upper="3.141592653589793"/>
+  </joint>
+  <!-- Joint from body to coxa_5 -->
+  <joint name="Coxa6" type="revolute">
+    <origin xyz="-0.128172 0.074 -0.0077" rpy="3.00252e-22 3.46199e-22 1.0625"/>
+    <parent link="body"/>
+    <child link="coxa_5"/>
+    <axis xyz="0 0 1"/>
+    <limit effort="10" velocity="10" lower="-3.141592653589793" upper="3.141592653589793"/>
+  </joint>
+  <!-- Link coxa_6 -->
+  <link name="coxa_6">
+    <inertial>
+      <origin xyz="0 0 0" rpy="0 0 0"/>
+      <mass value="1e-09"/>
+      <inertia ixx="1e-09" ixy="0" ixz="0" iyy="1e-09" iyz="0" izz="1e-09"/>
+    </inertial>
+    <!-- Part coxa_6 -->
+    <visual>
+      <origin xyz="-4.55365e-18 -0.115 0.0077" rpy="0 -0 3.05228e-17"/>
+      <geometry>
+        <mesh filename="package://assets/coxa__2.stl"/>
+      </geometry>
+      <material name="coxa_6_material">
+        <color rgba="0.301961 0.301961 0.301961 1"/>
+      </material>
+    </visual>
+    <collision>
+      <origin xyz="-4.55365e-18 -0.115 0.0077" rpy="0 -0 3.05228e-17"/>
+      <geometry>
+        <mesh filename="package://assets/coxa__2.stl"/>
+      </geometry>
+    </collision>
+  </link>
+  <!-- Link femur_6 -->
+  <link name="femur_6">
+    <inertial>
+      <origin xyz="0 0 0" rpy="0 0 0"/>
+      <mass value="1e-09"/>
+      <inertia ixx="1e-09" ixy="0" ixz="0" iyy="1e-09" iyz="0" izz="1e-09"/>
+    </inertial>
+    <!-- Part femur_6 -->
+    <visual>
+      <origin xyz="-0.18 0.00755 0.01525" rpy="1.5708 1.5708 0"/>
+      <geometry>
+        <mesh filename="package://assets/femur__2.stl"/>
+      </geometry>
+      <material name="femur_6_material">
+        <color rgba="0.301961 0.301961 0.301961 1"/>
+      </material>
+    </visual>
+    <collision>
+      <origin xyz="-0.18 0.00755 0.01525" rpy="1.5708 1.5708 0"/>
+      <geometry>
+        <mesh filename="package://assets/femur__2.stl"/>
+      </geometry>
+    </collision>
+  </link>
+  <!-- Link tibia_6 -->
+  <link name="tibia_6">
+    <inertial>
+      <origin xyz="0 0 0" rpy="0 0 0"/>
+      <mass value="1e-09"/>
+      <inertia ixx="1e-09" ixy="0" ixz="0" iyy="1e-09" iyz="0" izz="1e-09"/>
+    </inertial>
+    <!-- Part tibia_6 -->
+    <visual>
+      <origin xyz="-0.3 -0.00755 -0.01525" rpy="-1.5708 -1.5708 0"/>
+      <geometry>
+        <mesh filename="package://assets/tibia__2.stl"/>
+      </geometry>
+      <material name="tibia_6_material">
+        <color rgba="0.513725 0.737255 0.407843 1"/>
+      </material>
+    </visual>
+    <collision>
+      <origin xyz="-0.3 -0.00755 -0.01525" rpy="-1.5708 -1.5708 0"/>
+      <geometry>
+        <mesh filename="package://assets/tibia__2.stl"/>
+      </geometry>
+    </collision>
+  </link>
+  <!-- Joint from femur_6 to tibia_6 -->
+  <joint name="Tibia4" type="revolute">
+    <origin xyz="0.12 0 -5.89806e-17" rpy="3.14159 9.40223e-16 -1.07828e-16"/>
+    <parent link="femur_6"/>
+    <child link="tibia_6"/>
+    <axis xyz="0 0 1"/>
+    <limit effort="10" velocity="10" lower="-3.141592653589793" upper="3.141592653589793"/>
+  </joint>
+  <!-- Joint from coxa_6 to femur_6 -->
+  <joint name="Femur4" type="revolute">
+    <origin xyz="0.01515 0.065 0.01525" rpy="-1.5708 -4.70198e-38 1.5708"/>
+    <parent link="coxa_6"/>
+    <child link="femur_6"/>
+    <axis xyz="0 0 1"/>
+    <limit effort="10" velocity="10" lower="-3.141592653589793" upper="3.141592653589793"/>
+  </joint>
+  <!-- Joint from body to coxa_6 -->
+  <joint name="Coxa4" type="revolute">
+    <origin xyz="0.128172 0.074 -0.0077" rpy="2.28238e-22 4.04189e-22 -1.05148"/>
+    <parent link="body"/>
+    <child link="coxa_6"/>
+    <axis xyz="0 0 1"/>
+    <limit effort="10" velocity="10" lower="-3.141592653589793" upper="3.141592653589793"/>
+  </joint>
+</robot>
diff --git a/3DV2/urdf/urdf.blend b/3DV2/urdf/urdf.blend
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diff --git a/3DV2/urdf/urdf.mtl b/3DV2/urdf/urdf.mtl
new file mode 100644
index 0000000..e3ecfb5
--- /dev/null
+++ b/3DV2/urdf/urdf.mtl
@@ -0,0 +1,12 @@
+# Blender 5.0.0 MTL File: 'urdf.blend'
+# www.blender.org
+
+newmtl 0.513725_0.737255_0.407843_0.000000_0.005
+Ns 0.000000
+Ka 1.000000 1.000000 1.000000
+Kd 0.513700 0.737300 0.407800
+Ks 0.000000 0.000000 0.000000
+Ke 0.000000 0.000000 0.000000
+Ni 1.500000
+d 1.000000
+illum 1
diff --git a/3DV2/urdf_backup/assets/bearingholder.part b/3DV2/urdf_backup/assets/bearingholder.part
new file mode 100755
index 0000000..a0fde22
--- /dev/null
+++ b/3DV2/urdf_backup/assets/bearingholder.part
@@ -0,0 +1,13 @@
+{
+    "configuration": "default",
+    "documentId": "ed0a3b786fedc3f5a347f5b7",
+    "documentMicroversion": "e02f8fa924daafc9089a39bf",
+    "elementId": "4d9ee55a87f6d7d9fad606e1",
+    "fullConfiguration": "default",
+    "id": "M1zS0Pjy1uGe7Kay+",
+    "isStandardContent": false,
+    "name": "BearingHolder <4>",
+    "partId": "RBDf",
+    "suppressed": false,
+    "type": "Part"
+}
\ No newline at end of file
diff --git a/3DV2/urdf_backup/assets/bearingholder.stl b/3DV2/urdf_backup/assets/bearingholder.stl
new file mode 100755
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diff --git a/3DV2/urdf_backup/assets/bearingholder__2.part b/3DV2/urdf_backup/assets/bearingholder__2.part
new file mode 100755
index 0000000..eb4266e
--- /dev/null
+++ b/3DV2/urdf_backup/assets/bearingholder__2.part
@@ -0,0 +1,13 @@
+{
+    "configuration": "default",
+    "documentId": "ed0a3b786fedc3f5a347f5b7",
+    "documentMicroversion": "e02f8fa924daafc9089a39bf",
+    "elementId": "3dd49b7ff17a5efa716a1a9c",
+    "fullConfiguration": "default",
+    "id": "MsYLJvNKZFtLmR5J2",
+    "isStandardContent": false,
+    "name": "BearingHolder <6>",
+    "partId": "RZDL",
+    "suppressed": false,
+    "type": "Part"
+}
\ No newline at end of file
diff --git a/3DV2/urdf_backup/assets/bearingholder__2.stl b/3DV2/urdf_backup/assets/bearingholder__2.stl
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diff --git a/3DV2/urdf_backup/assets/bottom.part b/3DV2/urdf_backup/assets/bottom.part
new file mode 100755
index 0000000..bc5c137
--- /dev/null
+++ b/3DV2/urdf_backup/assets/bottom.part
@@ -0,0 +1,13 @@
+{
+    "configuration": "default",
+    "documentId": "ed0a3b786fedc3f5a347f5b7",
+    "documentMicroversion": "e02f8fa924daafc9089a39bf",
+    "elementId": "146bbab0692e9f239aec3d70",
+    "fullConfiguration": "default",
+    "id": "MtOrKNBIMUYTFVI92",
+    "isStandardContent": false,
+    "name": "Bottom <1>",
+    "partId": "S5BXk",
+    "suppressed": false,
+    "type": "Part"
+}
\ No newline at end of file
diff --git a/3DV2/urdf_backup/assets/bottom.stl b/3DV2/urdf_backup/assets/bottom.stl
new file mode 100755
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diff --git a/3DV2/urdf_backup/assets/bottomtop.part b/3DV2/urdf_backup/assets/bottomtop.part
new file mode 100755
index 0000000..e14a72e
--- /dev/null
+++ b/3DV2/urdf_backup/assets/bottomtop.part
@@ -0,0 +1,13 @@
+{
+    "configuration": "default",
+    "documentId": "ed0a3b786fedc3f5a347f5b7",
+    "documentMicroversion": "e02f8fa924daafc9089a39bf",
+    "elementId": "a4763a019883de81f1470c6f",
+    "fullConfiguration": "default",
+    "id": "M36cjh7Y+TWjney3H",
+    "isStandardContent": false,
+    "name": "BottomTop <4>",
+    "partId": "RnEP",
+    "suppressed": false,
+    "type": "Part"
+}
\ No newline at end of file
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diff --git a/3DV2/urdf_backup/assets/bottomtop__2.part b/3DV2/urdf_backup/assets/bottomtop__2.part
new file mode 100755
index 0000000..2035eee
--- /dev/null
+++ b/3DV2/urdf_backup/assets/bottomtop__2.part
@@ -0,0 +1,13 @@
+{
+    "configuration": "default",
+    "documentId": "ed0a3b786fedc3f5a347f5b7",
+    "documentMicroversion": "e02f8fa924daafc9089a39bf",
+    "elementId": "a42760ede9763eea7ad60151",
+    "fullConfiguration": "default",
+    "id": "MHhLAY6k5vbrH0X3J",
+    "isStandardContent": false,
+    "name": "BottomTop <6>",
+    "partId": "RGFH",
+    "suppressed": false,
+    "type": "Part"
+}
\ No newline at end of file
diff --git a/3DV2/urdf_backup/assets/bottomtop__2.stl b/3DV2/urdf_backup/assets/bottomtop__2.stl
new file mode 100755
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diff --git a/3DV2/urdf_backup/assets/top.part b/3DV2/urdf_backup/assets/top.part
new file mode 100755
index 0000000..abc8a99
--- /dev/null
+++ b/3DV2/urdf_backup/assets/top.part
@@ -0,0 +1,13 @@
+{
+    "configuration": "default",
+    "documentId": "ed0a3b786fedc3f5a347f5b7",
+    "documentMicroversion": "e02f8fa924daafc9089a39bf",
+    "elementId": "2d2e4344d46300191ba32ba6",
+    "fullConfiguration": "default",
+    "id": "M2P88JoDrZUkmwu09",
+    "isStandardContent": false,
+    "name": "Top <4>",
+    "partId": "RuDf",
+    "suppressed": false,
+    "type": "Part"
+}
\ No newline at end of file
diff --git a/3DV2/urdf_backup/assets/top.stl b/3DV2/urdf_backup/assets/top.stl
new file mode 100755
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diff --git a/3DV2/urdf_backup/assets/top__2.part b/3DV2/urdf_backup/assets/top__2.part
new file mode 100755
index 0000000..cd4accc
--- /dev/null
+++ b/3DV2/urdf_backup/assets/top__2.part
@@ -0,0 +1,13 @@
+{
+    "configuration": "default",
+    "documentId": "ed0a3b786fedc3f5a347f5b7",
+    "documentMicroversion": "e02f8fa924daafc9089a39bf",
+    "elementId": "754e7fb04dd8060a86413d63",
+    "fullConfiguration": "default",
+    "id": "M7yPzAffUhgBrSPSU",
+    "isStandardContent": false,
+    "name": "Top <6>",
+    "partId": "R2DX",
+    "suppressed": false,
+    "type": "Part"
+}
\ No newline at end of file
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literal 0
HcmV?d00001

diff --git a/3DV2/urdf_backup/config.json b/3DV2/urdf_backup/config.json
new file mode 100755
index 0000000..dd7a41a
--- /dev/null
+++ b/3DV2/urdf_backup/config.json
@@ -0,0 +1,6 @@
+{
+    // Onshape URL of the assembly
+    "url": "https://cad.onshape.com/documents/ed0a3b786fedc3f5a347f5b7/w/3def9d92618f589fa5e565cb/e/08b151d8d146e7283193b0e7",
+    // Output format
+    "output_format": "urdf"
+}
\ No newline at end of file
diff --git a/3DV2/urdf_backup/env b/3DV2/urdf_backup/env
new file mode 100755
index 0000000..6b9ef8b
--- /dev/null
+++ b/3DV2/urdf_backup/env
@@ -0,0 +1,3 @@
+export ONSHAPE_API=https://cad.onshape.com
+export ONSHAPE_ACCESS_KEY=on_Tr2aRYrm9mPKBgfpDCpqT
+export ONSHAPE_SECRET_KEY=w3BQKp02hfxlGnJWsLZzGGsdFBuMdfuefLkQsBSAOBAfySgr
\ No newline at end of file
diff --git a/3DV2/urdf_backup/robot.urdf b/3DV2/urdf_backup/robot.urdf
new file mode 100755
index 0000000..ceacaea
--- /dev/null
+++ b/3DV2/urdf_backup/robot.urdf
@@ -0,0 +1,605 @@
+<?xml version="1.0" ?>
+<!-- Generated using onshape-to-robot -->
+<!-- Onshape https://cad.onshape.com/documents/ed0a3b786fedc3f5a347f5b7/w/3def9d92618f589fa5e565cb/e/08b151d8d146e7283193b0e7 -->
+<robot name="urdf">
+  <!-- Link bottom -->
+  <link name="bottom">
+    <inertial>
+      <origin xyz="0 0 0" rpy="0 0 0"/>
+      <mass value="1e-09"/>
+      <inertia ixx="1e-09" ixy="0" ixz="0" iyy="1e-09" iyz="0" izz="1e-09"/>
+    </inertial>
+    <!-- Part bottom -->
+    <visual>
+      <origin xyz="0 0 0" rpy="0 -0 0"/>
+      <geometry>
+        <mesh filename="package://assets/bottom.stl"/>
+      </geometry>
+      <material name="bottom_material">
+        <color rgba="0.301961 0.301961 0.301961 1"/>
+      </material>
+    </visual>
+    <collision>
+      <origin xyz="0 0 0" rpy="0 -0 0"/>
+      <geometry>
+        <mesh filename="package://assets/bottom.stl"/>
+      </geometry>
+    </collision>
+  </link>
+  <!-- Link bearingholder -->
+  <link name="bearingholder">
+    <inertial>
+      <origin xyz="0 0 0" rpy="0 0 0"/>
+      <mass value="1e-09"/>
+      <inertia ixx="1e-09" ixy="0" ixz="0" iyy="1e-09" iyz="0" izz="1e-09"/>
+    </inertial>
+    <!-- Part bearingholder -->
+    <visual>
+      <origin xyz="6.74047e-19 0.115 0.0077" rpy="-2.36791e-29 -5.53584e-32 -6.76797e-61"/>
+      <geometry>
+        <mesh filename="package://assets/bearingholder.stl"/>
+      </geometry>
+      <material name="bearingholder_material">
+        <color rgba="0.301961 0.301961 0.301961 1"/>
+      </material>
+    </visual>
+    <collision>
+      <origin xyz="6.74047e-19 0.115 0.0077" rpy="-2.36791e-29 -5.53584e-32 -6.76797e-61"/>
+      <geometry>
+        <mesh filename="package://assets/bearingholder.stl"/>
+      </geometry>
+    </collision>
+  </link>
+  <!-- Link top -->
+  <link name="top">
+    <inertial>
+      <origin xyz="0 0 0" rpy="0 0 0"/>
+      <mass value="1e-09"/>
+      <inertia ixx="1e-09" ixy="0" ixz="0" iyy="1e-09" iyz="0" izz="1e-09"/>
+    </inertial>
+    <!-- Part top -->
+    <visual>
+      <origin xyz="0.18 0.00755 0.01525" rpy="1.5708 1.5708 0"/>
+      <geometry>
+        <mesh filename="package://assets/top.stl"/>
+      </geometry>
+      <material name="top_material">
+        <color rgba="0.301961 0.301961 0.301961 1"/>
+      </material>
+    </visual>
+    <collision>
+      <origin xyz="0.18 0.00755 0.01525" rpy="1.5708 1.5708 0"/>
+      <geometry>
+        <mesh filename="package://assets/top.stl"/>
+      </geometry>
+    </collision>
+  </link>
+  <!-- Link bottomtop -->
+  <link name="bottomtop">
+    <inertial>
+      <origin xyz="0 0 0" rpy="0 0 0"/>
+      <mass value="1e-09"/>
+      <inertia ixx="1e-09" ixy="0" ixz="0" iyy="1e-09" iyz="0" izz="1e-09"/>
+    </inertial>
+    <!-- Part bottomtop -->
+    <visual>
+      <origin xyz="0.3 -0.00755 -0.01525" rpy="-1.5708 -1.5708 0"/>
+      <geometry>
+        <mesh filename="package://assets/bottomtop.stl"/>
+      </geometry>
+      <material name="bottomtop_material">
+        <color rgba="0.513725 0.737255 0.407843 1"/>
+      </material>
+    </visual>
+    <collision>
+      <origin xyz="0.3 -0.00755 -0.01525" rpy="-1.5708 -1.5708 0"/>
+      <geometry>
+        <mesh filename="package://assets/bottomtop.stl"/>
+      </geometry>
+    </collision>
+  </link>
+  <!-- Joint from top to bottomtop -->
+  <joint name="Tibia2" type="revolute">
+    <origin xyz="-0.12 -2.25514e-17 1.73472e-18" rpy="3.14159 -6.12323e-17 5.55112e-17"/>
+    <parent link="top"/>
+    <child link="bottomtop"/>
+    <axis xyz="0 0 1"/>
+    <limit effort="10" velocity="10" lower="-3.141592653589793" upper="3.141592653589793"/>
+  </joint>
+  <!-- Joint from bearingholder to top -->
+  <joint name="Femur2" type="revolute">
+    <origin xyz="0.01515 -0.065 0.01525" rpy="-1.5708 2.36791e-29 1.5708"/>
+    <parent link="bearingholder"/>
+    <child link="top"/>
+    <axis xyz="0 0 1"/>
+    <limit effort="10" velocity="10" lower="-3.141592653589793" upper="3.141592653589793"/>
+  </joint>
+  <!-- Joint from bottom to bearingholder -->
+  <joint name="Coxa2" type="revolute">
+    <origin xyz="0 -0.115 -0.0077" rpy="0 -0 0"/>
+    <parent link="bottom"/>
+    <child link="bearingholder"/>
+    <axis xyz="0 0 1"/>
+    <limit effort="10" velocity="10" lower="-3.141592653589793" upper="3.141592653589793"/>
+  </joint>
+  <!-- Link bearingholder_2 -->
+  <link name="bearingholder_2">
+    <inertial>
+      <origin xyz="0 0 0" rpy="0 0 0"/>
+      <mass value="1e-09"/>
+      <inertia ixx="1e-09" ixy="0" ixz="0" iyy="1e-09" iyz="0" izz="1e-09"/>
+    </inertial>
+    <!-- Part bearingholder_2 -->
+    <visual>
+      <origin xyz="0 -0.115 0.0077" rpy="0 -0 0"/>
+      <geometry>
+        <mesh filename="package://assets/bearingholder__2.stl"/>
+      </geometry>
+      <material name="bearingholder_2_material">
+        <color rgba="0.301961 0.301961 0.301961 1"/>
+      </material>
+    </visual>
+    <collision>
+      <origin xyz="0 -0.115 0.0077" rpy="0 -0 0"/>
+      <geometry>
+        <mesh filename="package://assets/bearingholder__2.stl"/>
+      </geometry>
+    </collision>
+  </link>
+  <!-- Link top_2 -->
+  <link name="top_2">
+    <inertial>
+      <origin xyz="0 0 0" rpy="0 0 0"/>
+      <mass value="1e-09"/>
+      <inertia ixx="1e-09" ixy="0" ixz="0" iyy="1e-09" iyz="0" izz="1e-09"/>
+    </inertial>
+    <!-- Part top_2 -->
+    <visual>
+      <origin xyz="-0.18 0.00755 0.01525" rpy="1.5708 1.5708 0"/>
+      <geometry>
+        <mesh filename="package://assets/top__2.stl"/>
+      </geometry>
+      <material name="top_2_material">
+        <color rgba="0.301961 0.301961 0.301961 1"/>
+      </material>
+    </visual>
+    <collision>
+      <origin xyz="-0.18 0.00755 0.01525" rpy="1.5708 1.5708 0"/>
+      <geometry>
+        <mesh filename="package://assets/top__2.stl"/>
+      </geometry>
+    </collision>
+  </link>
+  <!-- Link bottomtop_2 -->
+  <link name="bottomtop_2">
+    <inertial>
+      <origin xyz="0 0 0" rpy="0 0 0"/>
+      <mass value="1e-09"/>
+      <inertia ixx="1e-09" ixy="0" ixz="0" iyy="1e-09" iyz="0" izz="1e-09"/>
+    </inertial>
+    <!-- Part bottomtop_2 -->
+    <visual>
+      <origin xyz="-0.3 -0.00755 -0.01525" rpy="-1.5708 -1.5708 0"/>
+      <geometry>
+        <mesh filename="package://assets/bottomtop__2.stl"/>
+      </geometry>
+      <material name="bottomtop_2_material">
+        <color rgba="0.513725 0.737255 0.407843 1"/>
+      </material>
+    </visual>
+    <collision>
+      <origin xyz="-0.3 -0.00755 -0.01525" rpy="-1.5708 -1.5708 0"/>
+      <geometry>
+        <mesh filename="package://assets/bottomtop__2.stl"/>
+      </geometry>
+    </collision>
+  </link>
+  <!-- Joint from top_2 to bottomtop_2 -->
+  <joint name="Tibia5" type="revolute">
+    <origin xyz="0.12 -8.67362e-19 1.73472e-18" rpy="3.14159 6.12323e-17 0"/>
+    <parent link="top_2"/>
+    <child link="bottomtop_2"/>
+    <axis xyz="0 0 1"/>
+    <limit effort="10" velocity="10" lower="-3.141592653589793" upper="3.141592653589793"/>
+  </joint>
+  <!-- Joint from bearingholder_2 to top_2 -->
+  <joint name="Femur5" type="revolute">
+    <origin xyz="0.01515 0.065 0.01525" rpy="-1.5708 -0 1.5708"/>
+    <parent link="bearingholder_2"/>
+    <child link="top_2"/>
+    <axis xyz="0 0 1"/>
+    <limit effort="10" velocity="10" lower="-3.141592653589793" upper="3.141592653589793"/>
+  </joint>
+  <!-- Joint from bottom to bearingholder_2 -->
+  <joint name="Coxa5" type="revolute">
+    <origin xyz="0 0.115 -0.0077" rpy="0 -0 0"/>
+    <parent link="bottom"/>
+    <child link="bearingholder_2"/>
+    <axis xyz="0 0 1"/>
+    <limit effort="10" velocity="10" lower="-3.141592653589793" upper="3.141592653589793"/>
+  </joint>
+  <!-- Link bearingholder_3 -->
+  <link name="bearingholder_3">
+    <inertial>
+      <origin xyz="0 0 0" rpy="0 0 0"/>
+      <mass value="1e-09"/>
+      <inertia ixx="1e-09" ixy="0" ixz="0" iyy="1e-09" iyz="0" izz="1e-09"/>
+    </inertial>
+    <!-- Part bearingholder_3 -->
+    <visual>
+      <origin xyz="-2.1684e-19 0.115 0.0077" rpy="-4.70198e-38 -9.40395e-38 -2.54791e-17"/>
+      <geometry>
+        <mesh filename="package://assets/bearingholder.stl"/>
+      </geometry>
+      <material name="bearingholder_3_material">
+        <color rgba="0.301961 0.301961 0.301961 1"/>
+      </material>
+    </visual>
+    <collision>
+      <origin xyz="-2.1684e-19 0.115 0.0077" rpy="-4.70198e-38 -9.40395e-38 -2.54791e-17"/>
+      <geometry>
+        <mesh filename="package://assets/bearingholder.stl"/>
+      </geometry>
+    </collision>
+  </link>
+  <!-- Link top_3 -->
+  <link name="top_3">
+    <inertial>
+      <origin xyz="0 0 0" rpy="0 0 0"/>
+      <mass value="1e-09"/>
+      <inertia ixx="1e-09" ixy="0" ixz="0" iyy="1e-09" iyz="0" izz="1e-09"/>
+    </inertial>
+    <!-- Part top_3 -->
+    <visual>
+      <origin xyz="0.18 0.00755 0.01525" rpy="1.5708 1.5708 0"/>
+      <geometry>
+        <mesh filename="package://assets/top.stl"/>
+      </geometry>
+      <material name="top_3_material">
+        <color rgba="0.301961 0.301961 0.301961 1"/>
+      </material>
+    </visual>
+    <collision>
+      <origin xyz="0.18 0.00755 0.01525" rpy="1.5708 1.5708 0"/>
+      <geometry>
+        <mesh filename="package://assets/top.stl"/>
+      </geometry>
+    </collision>
+  </link>
+  <!-- Link bottomtop_3 -->
+  <link name="bottomtop_3">
+    <inertial>
+      <origin xyz="0 0 0" rpy="0 0 0"/>
+      <mass value="1e-09"/>
+      <inertia ixx="1e-09" ixy="0" ixz="0" iyy="1e-09" iyz="0" izz="1e-09"/>
+    </inertial>
+    <!-- Part bottomtop_3 -->
+    <visual>
+      <origin xyz="0.3 -0.00755 -0.01525" rpy="-1.5708 -1.5708 0"/>
+      <geometry>
+        <mesh filename="package://assets/bottomtop.stl"/>
+      </geometry>
+      <material name="bottomtop_3_material">
+        <color rgba="0.513725 0.737255 0.407843 1"/>
+      </material>
+    </visual>
+    <collision>
+      <origin xyz="0.3 -0.00755 -0.01525" rpy="-1.5708 -1.5708 0"/>
+      <geometry>
+        <mesh filename="package://assets/bottomtop.stl"/>
+      </geometry>
+    </collision>
+  </link>
+  <!-- Joint from top_3 to bottomtop_3 -->
+  <joint name="Tibia1" type="revolute">
+    <origin xyz="-0.12 -6.07153e-18 1.2837e-16" rpy="-3.14159 -7.72359e-16 -1.85502e-16"/>
+    <parent link="top_3"/>
+    <child link="bottomtop_3"/>
+    <axis xyz="0 0 1"/>
+    <limit effort="10" velocity="10" lower="-3.141592653589793" upper="3.141592653589793"/>
+  </joint>
+  <!-- Joint from bearingholder_3 to top_3 -->
+  <joint name="Femur1" type="revolute">
+    <origin xyz="0.01515 -0.065 0.01525" rpy="-1.5708 4.70198e-38 1.5708"/>
+    <parent link="bearingholder_3"/>
+    <child link="top_3"/>
+    <axis xyz="0 0 1"/>
+    <limit effort="10" velocity="10" lower="-3.141592653589793" upper="3.141592653589793"/>
+  </joint>
+  <!-- Joint from bottom to bearingholder_3 -->
+  <joint name="Coxa1" type="revolute">
+    <origin xyz="-0.128172 -0.074 -0.0077" rpy="3.06739e-22 7.25872e-22 -1.05398"/>
+    <parent link="bottom"/>
+    <child link="bearingholder_3"/>
+    <axis xyz="0 0 1"/>
+    <limit effort="10" velocity="10" lower="-3.141592653589793" upper="3.141592653589793"/>
+  </joint>
+  <!-- Link bearingholder_4 -->
+  <link name="bearingholder_4">
+    <inertial>
+      <origin xyz="0 0 0" rpy="0 0 0"/>
+      <mass value="1e-09"/>
+      <inertia ixx="1e-09" ixy="0" ixz="0" iyy="1e-09" iyz="0" izz="1e-09"/>
+    </inertial>
+    <!-- Part bearingholder_4 -->
+    <visual>
+      <origin xyz="4.33681e-18 0.115 0.0077" rpy="1.11095e-31 -1.12906e-31 -1.43379e-17"/>
+      <geometry>
+        <mesh filename="package://assets/bearingholder.stl"/>
+      </geometry>
+      <material name="bearingholder_4_material">
+        <color rgba="0.301961 0.301961 0.301961 1"/>
+      </material>
+    </visual>
+    <collision>
+      <origin xyz="4.33681e-18 0.115 0.0077" rpy="1.11095e-31 -1.12906e-31 -1.43379e-17"/>
+      <geometry>
+        <mesh filename="package://assets/bearingholder.stl"/>
+      </geometry>
+    </collision>
+  </link>
+  <!-- Link top_4 -->
+  <link name="top_4">
+    <inertial>
+      <origin xyz="0 0 0" rpy="0 0 0"/>
+      <mass value="1e-09"/>
+      <inertia ixx="1e-09" ixy="0" ixz="0" iyy="1e-09" iyz="0" izz="1e-09"/>
+    </inertial>
+    <!-- Part top_4 -->
+    <visual>
+      <origin xyz="0.18 0.00755 0.01525" rpy="1.5708 1.5708 0"/>
+      <geometry>
+        <mesh filename="package://assets/top.stl"/>
+      </geometry>
+      <material name="top_4_material">
+        <color rgba="0.301961 0.301961 0.301961 1"/>
+      </material>
+    </visual>
+    <collision>
+      <origin xyz="0.18 0.00755 0.01525" rpy="1.5708 1.5708 0"/>
+      <geometry>
+        <mesh filename="package://assets/top.stl"/>
+      </geometry>
+    </collision>
+  </link>
+  <!-- Link bottomtop_4 -->
+  <link name="bottomtop_4">
+    <inertial>
+      <origin xyz="0 0 0" rpy="0 0 0"/>
+      <mass value="1e-09"/>
+      <inertia ixx="1e-09" ixy="0" ixz="0" iyy="1e-09" iyz="0" izz="1e-09"/>
+    </inertial>
+    <!-- Part bottomtop_4 -->
+    <visual>
+      <origin xyz="0.3 -0.00755 -0.01525" rpy="-1.5708 -1.5708 0"/>
+      <geometry>
+        <mesh filename="package://assets/bottomtop.stl"/>
+      </geometry>
+      <material name="bottomtop_4_material">
+        <color rgba="0.513725 0.737255 0.407843 1"/>
+      </material>
+    </visual>
+    <collision>
+      <origin xyz="0.3 -0.00755 -0.01525" rpy="-1.5708 -1.5708 0"/>
+      <geometry>
+        <mesh filename="package://assets/bottomtop.stl"/>
+      </geometry>
+    </collision>
+  </link>
+  <!-- Joint from top_4 to bottomtop_4 -->
+  <joint name="Tibia3" type="revolute">
+    <origin xyz="-0.12 -7.11237e-17 -2.498e-16" rpy="3.14159 -2.91581e-15 6.63744e-16"/>
+    <parent link="top_4"/>
+    <child link="bottomtop_4"/>
+    <axis xyz="0 0 1"/>
+    <limit effort="10" velocity="10" lower="-3.141592653589793" upper="3.141592653589793"/>
+  </joint>
+  <!-- Joint from bearingholder_4 to top_4 -->
+  <joint name="Femur3" type="revolute">
+    <origin xyz="0.01515 -0.065 0.01525" rpy="-1.5708 -1.11095e-31 1.5708"/>
+    <parent link="bearingholder_4"/>
+    <child link="top_4"/>
+    <axis xyz="0 0 1"/>
+    <limit effort="10" velocity="10" lower="-3.141592653589793" upper="3.141592653589793"/>
+  </joint>
+  <!-- Joint from bottom to bearingholder_4 -->
+  <joint name="Coxa3" type="revolute">
+    <origin xyz="0.128172 -0.074 -0.0077" rpy="1.36459e-15 7.45515e-16 1.07747"/>
+    <parent link="bottom"/>
+    <child link="bearingholder_4"/>
+    <axis xyz="0 0 1"/>
+    <limit effort="10" velocity="10" lower="-3.141592653589793" upper="3.141592653589793"/>
+  </joint>
+  <!-- Link bearingholder_5 -->
+  <link name="bearingholder_5">
+    <inertial>
+      <origin xyz="0 0 0" rpy="0 0 0"/>
+      <mass value="1e-09"/>
+      <inertia ixx="1e-09" ixy="0" ixz="0" iyy="1e-09" iyz="0" izz="1e-09"/>
+    </inertial>
+    <!-- Part bearingholder_5 -->
+    <visual>
+      <origin xyz="-4.33681e-18 -0.115 0.0077" rpy="1.41059e-37 -0 -9.37717e-17"/>
+      <geometry>
+        <mesh filename="package://assets/bearingholder__2.stl"/>
+      </geometry>
+      <material name="bearingholder_5_material">
+        <color rgba="0.301961 0.301961 0.301961 1"/>
+      </material>
+    </visual>
+    <collision>
+      <origin xyz="-4.33681e-18 -0.115 0.0077" rpy="1.41059e-37 -0 -9.37717e-17"/>
+      <geometry>
+        <mesh filename="package://assets/bearingholder__2.stl"/>
+      </geometry>
+    </collision>
+  </link>
+  <!-- Link top_5 -->
+  <link name="top_5">
+    <inertial>
+      <origin xyz="0 0 0" rpy="0 0 0"/>
+      <mass value="1e-09"/>
+      <inertia ixx="1e-09" ixy="0" ixz="0" iyy="1e-09" iyz="0" izz="1e-09"/>
+    </inertial>
+    <!-- Part top_5 -->
+    <visual>
+      <origin xyz="-0.18 0.00755 0.01525" rpy="1.5708 1.5708 0"/>
+      <geometry>
+        <mesh filename="package://assets/top__2.stl"/>
+      </geometry>
+      <material name="top_5_material">
+        <color rgba="0.301961 0.301961 0.301961 1"/>
+      </material>
+    </visual>
+    <collision>
+      <origin xyz="-0.18 0.00755 0.01525" rpy="1.5708 1.5708 0"/>
+      <geometry>
+        <mesh filename="package://assets/top__2.stl"/>
+      </geometry>
+    </collision>
+  </link>
+  <!-- Link bottomtop_5 -->
+  <link name="bottomtop_5">
+    <inertial>
+      <origin xyz="0 0 0" rpy="0 0 0"/>
+      <mass value="1e-09"/>
+      <inertia ixx="1e-09" ixy="0" ixz="0" iyy="1e-09" iyz="0" izz="1e-09"/>
+    </inertial>
+    <!-- Part bottomtop_5 -->
+    <visual>
+      <origin xyz="-0.3 -0.00755 -0.01525" rpy="-1.5708 -1.5708 0"/>
+      <geometry>
+        <mesh filename="package://assets/bottomtop__2.stl"/>
+      </geometry>
+      <material name="bottomtop_5_material">
+        <color rgba="0.513725 0.737255 0.407843 1"/>
+      </material>
+    </visual>
+    <collision>
+      <origin xyz="-0.3 -0.00755 -0.01525" rpy="-1.5708 -1.5708 0"/>
+      <geometry>
+        <mesh filename="package://assets/bottomtop__2.stl"/>
+      </geometry>
+    </collision>
+  </link>
+  <!-- Joint from top_5 to bottomtop_5 -->
+  <joint name="Tibia6" type="revolute">
+    <origin xyz="0.12 4.33681e-18 -1.70003e-16" rpy="3.14159 1.49429e-15 9.18028e-17"/>
+    <parent link="top_5"/>
+    <child link="bottomtop_5"/>
+    <axis xyz="0 0 1"/>
+    <limit effort="10" velocity="10" lower="-3.141592653589793" upper="3.141592653589793"/>
+  </joint>
+  <!-- Joint from bearingholder_5 to top_5 -->
+  <joint name="Femur6" type="revolute">
+    <origin xyz="0.01515 0.065 0.01525" rpy="-1.5708 -1.88079e-37 1.5708"/>
+    <parent link="bearingholder_5"/>
+    <child link="top_5"/>
+    <axis xyz="0 0 1"/>
+    <limit effort="10" velocity="10" lower="-3.141592653589793" upper="3.141592653589793"/>
+  </joint>
+  <!-- Joint from bottom to bearingholder_5 -->
+  <joint name="Coxa6" type="revolute">
+    <origin xyz="-0.128172 0.074 -0.0077" rpy="3.00252e-22 3.46199e-22 1.0625"/>
+    <parent link="bottom"/>
+    <child link="bearingholder_5"/>
+    <axis xyz="0 0 1"/>
+    <limit effort="10" velocity="10" lower="-3.141592653589793" upper="3.141592653589793"/>
+  </joint>
+  <!-- Link bearingholder_6 -->
+  <link name="bearingholder_6">
+    <inertial>
+      <origin xyz="0 0 0" rpy="0 0 0"/>
+      <mass value="1e-09"/>
+      <inertia ixx="1e-09" ixy="0" ixz="0" iyy="1e-09" iyz="0" izz="1e-09"/>
+    </inertial>
+    <!-- Part bearingholder_6 -->
+    <visual>
+      <origin xyz="-4.55365e-18 -0.115 0.0077" rpy="0 -0 3.05228e-17"/>
+      <geometry>
+        <mesh filename="package://assets/bearingholder__2.stl"/>
+      </geometry>
+      <material name="bearingholder_6_material">
+        <color rgba="0.301961 0.301961 0.301961 1"/>
+      </material>
+    </visual>
+    <collision>
+      <origin xyz="-4.55365e-18 -0.115 0.0077" rpy="0 -0 3.05228e-17"/>
+      <geometry>
+        <mesh filename="package://assets/bearingholder__2.stl"/>
+      </geometry>
+    </collision>
+  </link>
+  <!-- Link top_6 -->
+  <link name="top_6">
+    <inertial>
+      <origin xyz="0 0 0" rpy="0 0 0"/>
+      <mass value="1e-09"/>
+      <inertia ixx="1e-09" ixy="0" ixz="0" iyy="1e-09" iyz="0" izz="1e-09"/>
+    </inertial>
+    <!-- Part top_6 -->
+    <visual>
+      <origin xyz="-0.18 0.00755 0.01525" rpy="1.5708 1.5708 0"/>
+      <geometry>
+        <mesh filename="package://assets/top__2.stl"/>
+      </geometry>
+      <material name="top_6_material">
+        <color rgba="0.301961 0.301961 0.301961 1"/>
+      </material>
+    </visual>
+    <collision>
+      <origin xyz="-0.18 0.00755 0.01525" rpy="1.5708 1.5708 0"/>
+      <geometry>
+        <mesh filename="package://assets/top__2.stl"/>
+      </geometry>
+    </collision>
+  </link>
+  <!-- Link bottomtop_6 -->
+  <link name="bottomtop_6">
+    <inertial>
+      <origin xyz="0 0 0" rpy="0 0 0"/>
+      <mass value="1e-09"/>
+      <inertia ixx="1e-09" ixy="0" ixz="0" iyy="1e-09" iyz="0" izz="1e-09"/>
+    </inertial>
+    <!-- Part bottomtop_6 -->
+    <visual>
+      <origin xyz="-0.3 -0.00755 -0.01525" rpy="-1.5708 -1.5708 0"/>
+      <geometry>
+        <mesh filename="package://assets/bottomtop__2.stl"/>
+      </geometry>
+      <material name="bottomtop_6_material">
+        <color rgba="0.513725 0.737255 0.407843 1"/>
+      </material>
+    </visual>
+    <collision>
+      <origin xyz="-0.3 -0.00755 -0.01525" rpy="-1.5708 -1.5708 0"/>
+      <geometry>
+        <mesh filename="package://assets/bottomtop__2.stl"/>
+      </geometry>
+    </collision>
+  </link>
+  <!-- Joint from top_6 to bottomtop_6 -->
+  <joint name="Tibia4" type="revolute">
+    <origin xyz="0.12 0 -5.89806e-17" rpy="3.14159 9.40223e-16 -1.07828e-16"/>
+    <parent link="top_6"/>
+    <child link="bottomtop_6"/>
+    <axis xyz="0 0 1"/>
+    <limit effort="10" velocity="10" lower="-3.141592653589793" upper="3.141592653589793"/>
+  </joint>
+  <!-- Joint from bearingholder_6 to top_6 -->
+  <joint name="Femur4" type="revolute">
+    <origin xyz="0.01515 0.065 0.01525" rpy="-1.5708 -0 1.5708"/>
+    <parent link="bearingholder_6"/>
+    <child link="top_6"/>
+    <axis xyz="0 0 1"/>
+    <limit effort="10" velocity="10" lower="-3.141592653589793" upper="3.141592653589793"/>
+  </joint>
+  <!-- Joint from bottom to bearingholder_6 -->
+  <joint name="Coxa4" type="revolute">
+    <origin xyz="0.128172 0.074 -0.0077" rpy="2.28238e-22 4.04189e-22 -1.05148"/>
+    <parent link="bottom"/>
+    <child link="bearingholder_6"/>
+    <axis xyz="0 0 1"/>
+    <limit effort="10" velocity="10" lower="-3.141592653589793" upper="3.141592653589793"/>
+  </joint>
+</robot>
diff --git a/3DV3/LEG/LEFT/BLACK/Coxa Left - BearingHolder.stl b/3DV3/LEG/LEFT/BLACK/Coxa Left - BearingHolder.stl
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diff --git a/3DV3/LEG/LEFT/BLACK/Tibia - LegTipHolder - tolerance/Tibia Left - LegTipHolder 0.04.stl b/3DV3/LEG/LEFT/BLACK/Tibia - LegTipHolder - tolerance/Tibia Left - LegTipHolder 0.04.stl
new file mode 100644
index 0000000000000000000000000000000000000000..9fc1c720b01f9bc929d8c46964162eeb9c4cb68a
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diff --git a/3DV3/LEG/LEFT/BLACK/Tibia - LegTipHolder - tolerance/Tibia Left - LegTipHolder.stl b/3DV3/LEG/LEFT/BLACK/Tibia - LegTipHolder - tolerance/Tibia Left - LegTipHolder.stl
new file mode 100644
index 0000000000000000000000000000000000000000..6a5e3298b9b1ae6fc73d591b86208276e4d3eb95
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diff --git a/3DV3/LEG/LEFT/BLACK/Tibia Left - MiddleTop.stl b/3DV3/LEG/LEFT/BLACK/Tibia Left - MiddleTop.stl
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diff --git a/3DV3/LEG/LEFT/GREEN/Coxa Left - Bottom.stl b/3DV3/LEG/LEFT/GREEN/Coxa Left - Bottom.stl
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new file mode 100644
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new file mode 100644
index 0000000..4793c0c
--- /dev/null
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diff --git a/servo_controller/.gitignore b/servo_controller/.gitignore
new file mode 100644
index 0000000..1a6d87a
--- /dev/null
+++ b/servo_controller/.gitignore
@@ -0,0 +1,4 @@
+build
+tmp
+boards
+.vscode
\ No newline at end of file
diff --git a/servo_controller/CMakeLists.txt b/servo_controller/CMakeLists.txt
new file mode 100644
index 0000000..8bcca10
--- /dev/null
+++ b/servo_controller/CMakeLists.txt
@@ -0,0 +1,10 @@
+# SPDX-License-Identifier: Apache-2.0
+
+cmake_minimum_required(VERSION 3.20.0)
+set(BOARD_ROOT ${CMAKE_CURRENT_SOURCE_DIR})
+
+find_package(Zephyr REQUIRED HINTS $ENV{ZEPHYR_BASE})
+project(servo_controller)
+
+FILE(GLOB app_sources src/*.c)
+target_sources(app PRIVATE ${app_sources})
diff --git a/servo_controller/Kconfig b/servo_controller/Kconfig
new file mode 100644
index 0000000..b4cd3a9
--- /dev/null
+++ b/servo_controller/Kconfig
@@ -0,0 +1,60 @@
+# Copyright (c) 2023 Nordic Semiconductor ASA
+# SPDX-License-Identifier: Apache-2.0
+
+source "Kconfig.zephyr"
+
+menu "USB options"
+	depends on USB_DEVICE_STACK_NEXT
+
+config USBD_MANUFACTURER
+	string "USB device manufacturer string"
+	default "Zephyr Project"
+	help
+	  USB device manufacturer string.
+
+config USBD_PRODUCT
+	string "USB device product string"
+	default "USBD"
+	help
+	  USB device product stringa.
+
+config USBD_VID
+	hex "USB device Vendor ID"
+	default 0x2fe3
+	help
+	  USB device Vendor ID. The default id (0x2fe3) is associated to
+	  Zephyr Project, you must use your own VID and applications
+	  outside of Zephyr Project.
+
+config USBD_PID
+	hex "USB device Product ID"
+	default 0x0001
+	help
+	  USB device Product ID. You must use your own PID
+	  and applications outside of Zephyr Project.
+
+config USBD_SELF_POWERED
+	bool "USB device Self-powered attribute"
+	default y
+	help
+	  Set the Self-powered attribute in the configuration.
+
+config USBD_REMOTE_WAKEUP
+	bool "USB device Remote Wakeup attribute"
+	help
+	  Set the Remote Wakeup attribute in the configuration.
+
+config USBD_MAX_POWER
+	int "USB device bMaxPower value"
+	default 125
+	range 0 250
+	help
+	  bMaxPower value in the configuration in 2 mA units.
+
+config USBD_20_EXTENSION_DESC
+	bool "Use default USB 2.0 Extension Descriptor"
+	depends on USBD_BOS_SUPPORT
+	help
+	  Set bcdUSB value to 0201 and use default USB 2.0 Extension Descriptor.
+
+endmenu
\ No newline at end of file
diff --git a/servo_controller/README.md b/servo_controller/README.md
new file mode 100644
index 0000000..3891cc0
--- /dev/null
+++ b/servo_controller/README.md
@@ -0,0 +1,56 @@
+# Zephyr USB Command Handler
+
+This repository contains the implementation of a USB command handler for the Zephyr RTOS. The system allows devices to communicate via USB using custom command messages.
+
+### Components
+
+1. **command_handler.c/h**: Handles incoming commands, processes them, and performs actions based on the command type.
+2. **command_message.c/h**: Manages the creation, validation, and logging of command messages, including CRC calculation.
+3. **usb.c/h**: Manages USB initialization, data reception via UART, and sending responses. Includes a USB thread.
+4. **usb_conf.c/h**: Configures the USB device.
+
+### ACK
+
+Every command returns either an ACK or NACK.
+
+### Command Structure
+
+```c
+struct command_message_t {
+    uint8_t prefix;     // 0x69
+    uint8_t length;
+    uint8_t id;
+    uint8_t command;
+    uint8_t crc;
+    uint8_t data[160];
+} __attribute__((packed));
+```
+
+### CRC Calculation Function
+
+```c
+uint8_t calculate_crc(struct command_message_t *msg) {
+    uint32_t sum = 0;
+    uint8_t crc = 0;
+
+    uint8_t *byte_ptr = (uint8_t *)msg;
+
+    for (int i = 0; i < (sizeof(struct command_message_t) - sizeof(msg->data) + msg->length) - 1; i++) {
+        sum += byte_ptr[i];
+    }
+
+    crc = 0x100 - (sum & 0xff);
+
+    return crc;
+}
+```
+
+### Python test script (AI generated)
+
+**Command Usage:**
+
+```bash
+python3 scripts/led_blink.py
+```
+
+This script sends LED toggle commands to the device connected via USB.
\ No newline at end of file
diff --git a/servo_controller/app.overlay b/servo_controller/app.overlay
new file mode 100644
index 0000000..e69de29
diff --git a/servo_controller/prj.conf b/servo_controller/prj.conf
new file mode 100644
index 0000000..b438aa3
--- /dev/null
+++ b/servo_controller/prj.conf
@@ -0,0 +1,30 @@
+CONFIG_GPIO=y
+CONFIG_PWM=y
+
+# Serial
+CONFIG_SERIAL=y
+CONFIG_CONSOLE=y
+CONFIG_UART_CONSOLE=y
+CONFIG_STDOUT_CONSOLE=y
+CONFIG_UART_LINE_CTRL=y
+
+# USB
+CONFIG_USB_DEVICE_STACK_NEXT=y
+CONFIG_CDC_ACM_SERIAL_INITIALIZE_AT_BOOT=n
+CONFIG_USBD_VID=0xffff
+CONFIG_USBD_PID=0x0420
+CONFIG_USBD_MANUFACTURER="Some Dumbass"
+CONFIG_USBD_PRODUCT="The Thing"
+CONFIG_USBD_SELF_POWERED=y
+CONFIG_USBD_MAX_POWER=125
+
+# LOG
+CONFIG_LOG=n
+CONFIG_USBD_CDC_ACM_LOG_LEVEL_OFF=y  # This removes a pointless warning
+CONFIG_LOG_DEFAULT_LEVEL=3
+CONFIG_LOG_MODE_IMMEDIATE=y
+
+# DEBUG
+CONFIG_DEBUG_THREAD_INFO=y
+# CONFIG_DEBUG=y
+# CONFIG_DEBUG_OPTIMIZATIONS=y
\ No newline at end of file
diff --git a/servo_controller/scripts/led_blink.py b/servo_controller/scripts/led_blink.py
new file mode 100644
index 0000000..fd75b1f
--- /dev/null
+++ b/servo_controller/scripts/led_blink.py
@@ -0,0 +1,123 @@
+#!/usr/bin/env python3
+
+import serial
+import struct
+import threading
+import time
+
+PORT = "/dev/ttyACM0"
+BAUDRATE = 115200
+
+COMMAND_PREFIX = 0x69
+
+COMMAND_ACK = 0
+COMMAND_NACK = 1
+LED = 2
+
+DEVICE_ID = 0
+
+
+def calculate_crc(msg: bytes) -> int:
+    s = sum(msg) & 0xFF
+    return (-s) & 0xFF
+
+
+def make_packet(command: int, data: bytes = b"") -> bytes:
+    length = len(data)
+
+    pkt = bytearray()
+    pkt.append(COMMAND_PREFIX)
+    pkt.append(length)
+    pkt.append(DEVICE_ID)
+    pkt.append(command)
+    pkt.append(0)              # CRC placeholder
+    pkt.extend(data)
+
+    pkt[4] = calculate_crc(pkt[:4] + pkt[5:])
+
+    return bytes(pkt)
+
+
+def verify_crc(packet: bytes) -> bool:
+    crc = packet[4]
+    calc = calculate_crc(packet[:4] + packet[5:])
+    return crc == calc
+
+
+def packet_size(buf: bytes):
+    if len(buf) < 2:
+        return None
+    return 5 + buf[1]
+
+
+def reader(ser):
+    rx = bytearray()
+
+    while True:
+        data = ser.read(64)
+        if not data:
+            continue
+
+        rx.extend(data)
+
+        while rx:
+            # Binary packet?
+            if rx[0] == COMMAND_PREFIX:
+                size = packet_size(rx)
+                if size is None or len(rx) < size:
+                    break
+
+                pkt = bytes(rx[:size])
+                del rx[:size]
+
+                if not verify_crc(pkt):
+                    print("RX: Bad CRC:", pkt.hex())
+                    continue
+
+                length = pkt[1]
+                dev_id = pkt[2]
+                cmd = pkt[3]
+
+                if cmd == COMMAND_ACK:
+                    print(f"<-- ACK (device={dev_id})")
+
+                elif cmd == COMMAND_NACK:
+                    print(f"<-- NACK (device={dev_id})")
+
+                elif cmd == COMMAND_ERROR:
+                    print(f"<-- ERROR (device={dev_id})")
+
+                else:
+                    print(f"<-- Command {cmd} len={length}")
+
+            else:
+                # ASCII log output
+                idx = rx.find(b'\n')
+                if idx == -1:
+                    break
+
+                line = rx[:idx + 1]
+                del rx[:idx + 1]
+
+                try:
+                    print("[LOG]", line.decode().rstrip())
+                except UnicodeDecodeError:
+                    print("[RAW]", line.hex())
+
+
+def main():
+    ser = serial.Serial(PORT, BAUDRATE, timeout=0.05)
+
+    threading.Thread(target=reader, args=(ser,), daemon=True).start()
+
+    for i in range(10):
+        print(f"--> Sending LED command {i + 1}")
+        ser.write(make_packet(LED))
+        time.sleep(0.5)
+
+    print("Done.")
+    time.sleep(2)
+
+
+if __name__ == "__main__":
+    main()
diff --git a/servo_controller/scripts/speed_test.py b/servo_controller/scripts/speed_test.py
new file mode 100644
index 0000000..ec448ad
--- /dev/null
+++ b/servo_controller/scripts/speed_test.py
@@ -0,0 +1,263 @@
+#!/usr/bin/env python3
+
+import serial
+import threading
+import time
+
+# ==========================
+# Configuration
+# ==========================
+
+PORT = "/dev/ttyACM0"
+BAUDRATE = 115200
+
+COMMAND_PREFIX = 0x69
+
+COMMAND_ACK = 0
+COMMAND_NACK = 1
+LED = 2
+
+DEVICE_ID = 0
+
+# Test parameters
+TEST_DURATION = 2.0  # seconds per stage
+LOSS_THRESHOLD = 1.0  # percent
+
+# Rates to test (packets/second)
+RATES = [
+    100,
+    200,
+    500,
+    1000,
+    2000,
+    4000,
+    8000,
+    16000,
+]
+
+# ==========================
+# Statistics
+# ==========================
+
+lock = threading.Lock()
+
+tx_packets = 0
+tx_bytes = 0
+
+rx_packets = 0
+rx_ack = 0
+rx_nack = 0
+rx_error = 0
+
+
+# ==========================
+# Packet helpers
+# ==========================
+
+def calculate_crc(msg: bytes) -> int:
+    s = sum(msg) & 0xFF
+    return (-s) & 0xFF
+
+
+def make_packet(command: int, data: bytes = b"") -> bytes:
+    pkt = bytearray()
+
+    pkt.append(COMMAND_PREFIX)
+    pkt.append(len(data))
+    pkt.append(DEVICE_ID)
+    pkt.append(command)
+    pkt.append(0)
+
+    pkt.extend(data)
+
+    pkt[4] = calculate_crc(pkt[:4] + pkt[5:])
+    return bytes(pkt)
+
+
+def verify_crc(packet: bytes) -> bool:
+    crc = packet[4]
+    calc = calculate_crc(packet[:4] + packet[5:])
+    return crc == calc
+
+
+def packet_size(buf: bytes):
+    if len(buf) < 2:
+        return None
+    return 5 + buf[1]
+
+
+# ==========================
+# Receiver
+# ==========================
+
+def reader(ser):
+    global rx_packets, rx_ack, rx_nack, rx_error
+
+    rx = bytearray()
+
+    while True:
+        data = ser.read(4096)
+        if not data:
+            continue
+
+        rx.extend(data)
+
+        while True:
+            if not rx:
+                break
+
+            # ASCII log output
+            if rx[0] != COMMAND_PREFIX:
+                nl = rx.find(b"\n")
+                if nl == -1:
+                    rx.clear()
+                    break
+
+                line = rx[: nl + 1]
+                del rx[: nl + 1]
+
+                try:
+                    print("[LOG]", line.decode().rstrip())
+                except UnicodeDecodeError:
+                    pass
+
+                continue
+
+            size = packet_size(rx)
+
+            if size is None or len(rx) < size:
+                break
+
+            pkt = bytes(rx[:size])
+            del rx[:size]
+
+            if not verify_crc(pkt):
+                continue
+
+            cmd = pkt[3]
+
+            with lock:
+                rx_packets += 1
+
+                if cmd == COMMAND_ACK:
+                    rx_ack += 1
+                elif cmd == COMMAND_NACK:
+                    rx_nack += 1
+                elif cmd == COMMAND_ERROR:
+                    rx_error += 1
+
+
+# ==========================
+# Benchmark
+# ==========================
+
+def run_stage(ser, packet, target_pps):
+    global tx_packets, tx_bytes
+    global rx_packets, rx_ack, rx_nack, rx_error
+
+    with lock:
+        tx_packets = 0
+        tx_bytes = 0
+        rx_packets = 0
+        rx_ack = 0
+        rx_nack = 0
+        rx_error = 0
+
+    interval = 1.0 / target_pps
+
+    start = time.perf_counter()
+    end = start + TEST_DURATION
+    next_tx = start
+
+    while True:
+        now = time.perf_counter()
+
+        if now >= end:
+            break
+
+        if now >= next_tx:
+            ser.write(packet)
+
+            with lock:
+                tx_packets += 1
+                tx_bytes += len(packet)
+
+            next_tx += interval
+        else:
+            sleep = next_tx - now
+            if sleep > 0:
+                time.sleep(min(sleep, 0.0005))
+
+    # Allow final ACKs to arrive
+    time.sleep(0.25)
+
+    elapsed = time.perf_counter() - start
+
+    with lock:
+        tx = tx_packets
+        ack = rx_ack
+        nack = rx_nack
+        err = rx_error
+        bytes_sent = tx_bytes
+
+    loss = 0.0
+    if tx:
+        loss = (tx - ack) / tx * 100.0
+
+    print()
+    print("=" * 60)
+    print(f"Target Rate : {target_pps:>7} pkt/s")
+    print(f"Elapsed     : {elapsed:.3f} s")
+    print(f"Sent        : {tx}")
+    print(f"ACK         : {ack}")
+    print(f"NACK        : {nack}")
+    print(f"ERROR       : {err}")
+    print(f"Loss        : {loss:.2f}%")
+    print(f"Actual TX   : {tx / elapsed:.0f} pkt/s")
+    print(f"Throughput  : {bytes_sent / elapsed / 1024:.2f} KiB/s")
+
+    return loss
+
+
+# ==========================
+# Main
+# ==========================
+
+def main():
+    packet = make_packet(LED)
+
+    print(f"Opening {PORT} @ {BAUDRATE} baud...")
+    ser = serial.Serial(PORT, BAUDRATE, timeout=0.01)
+
+    threading.Thread(target=reader, args=(ser,), daemon=True).start()
+
+    print("\nStarting communication benchmark...\n")
+
+    previous_rate = None
+
+    for rate in RATES:
+        loss = run_stage(ser, packet, rate)
+
+        if loss > LOSS_THRESHOLD:
+            print()
+            print(
+                f"Link became unreliable (> {LOSS_THRESHOLD:.1f}% loss)."
+            )
+
+            if previous_rate is not None:
+                print(f"Maximum reliable rate ≈ {previous_rate} pkt/s")
+
+            break
+
+        previous_rate = rate
+
+    else:
+        print()
+        print("Completed all test stages.")
+        print(f"Reliable up to at least {RATES[-1]} pkt/s.")
+
+    ser.close()
+
+
+if __name__ == "__main__":
+    main()
\ No newline at end of file
diff --git a/servo_controller/scripts/speed_test2.py b/servo_controller/scripts/speed_test2.py
new file mode 100644
index 0000000..dda2ba2
--- /dev/null
+++ b/servo_controller/scripts/speed_test2.py
@@ -0,0 +1,224 @@
+#!/usr/bin/env python3
+
+import serial
+import threading
+import time
+
+# ==========================================================
+# Configuration
+# ==========================================================
+
+PORT = "/dev/ttyACM0"
+BAUDRATE = 115200
+
+COMMAND_PREFIX = 0x69
+
+COMMAND_ACK = 0
+COMMAND_NACK = 1
+LED = 2
+
+DEVICE_ID = 0
+
+TEST_DURATION = 5.0
+ACK_TIMEOUT = 1.0
+
+# ==========================================================
+# Packet helpers
+# ==========================================================
+
+def calculate_crc(msg: bytes) -> int:
+    return (-sum(msg)) & 0xFF
+
+
+def make_packet(command: int, data: bytes = b"") -> bytes:
+    pkt = bytearray()
+
+    pkt.append(COMMAND_PREFIX)
+    pkt.append(len(data))
+    pkt.append(DEVICE_ID)
+    pkt.append(command)
+    pkt.append(0)
+
+    pkt.extend(data)
+
+    pkt[4] = calculate_crc(pkt[:4] + pkt[5:])
+    return bytes(pkt)
+
+
+def verify_crc(packet: bytes) -> bool:
+    return packet[4] == calculate_crc(packet[:4] + packet[5:])
+
+
+# ==========================================================
+# ACK synchronization
+# ==========================================================
+
+ack_event = threading.Event()
+
+ack_count = 0
+nack_count = 0
+error_count = 0
+timeout_count = 0
+
+running = True
+
+
+# ==========================================================
+# Receiver
+# ==========================================================
+
+def reader(ser):
+    global ack_count
+    global nack_count
+    global error_count
+
+    rx = bytearray()
+
+    while running:
+
+        data = ser.read(4096)
+
+        if not data:
+            continue
+
+        rx.extend(data)
+
+        while True:
+
+            if len(rx) < 5:
+                break
+
+            if rx[0] != COMMAND_PREFIX:
+
+                nl = rx.find(b"\n")
+
+                if nl == -1:
+                    rx.clear()
+                    break
+
+                try:
+                    print("[LOG]", rx[:nl].decode().rstrip())
+                except UnicodeDecodeError:
+                    pass
+
+                del rx[: nl + 1]
+                continue
+
+            length = rx[1]
+            size = 5 + length
+
+            if len(rx) < size:
+                break
+
+            pkt = bytes(rx[:size])
+            del rx[:size]
+
+            if not verify_crc(pkt):
+                continue
+
+            cmd = pkt[3]
+
+            if cmd == COMMAND_ACK:
+                ack_count += 1
+                ack_event.set()
+
+            elif cmd == COMMAND_NACK:
+                nack_count += 1
+                ack_event.set()
+
+            elif cmd == COMMAND_ERROR:
+                error_count += 1
+                ack_event.set()
+
+
+# ==========================================================
+# Benchmark
+# ==========================================================
+
+def benchmark(ser):
+
+    global timeout_count
+
+    packet = make_packet(LED)
+
+    sent = 0
+
+    rtt_sum = 0.0
+    rtt_min = float("inf")
+    rtt_max = 0.0
+
+    start = time.perf_counter()
+    end = start + TEST_DURATION
+
+    while time.perf_counter() < end:
+
+        ack_event.clear()
+
+        t0 = time.perf_counter()
+
+        ser.write(packet)
+
+        if not ack_event.wait(ACK_TIMEOUT):
+            timeout_count += 1
+            continue
+
+        t1 = time.perf_counter()
+
+        rtt = t1 - t0
+
+        sent += 1
+        rtt_sum += rtt
+        rtt_min = min(rtt_min, rtt)
+        rtt_max = max(rtt_max, rtt)
+
+    elapsed = time.perf_counter() - start
+
+    print()
+    print("=" * 60)
+    print(f"Elapsed      : {elapsed:.3f} s")
+    print(f"Sent         : {sent}")
+    print(f"ACK          : {ack_count}")
+    print(f"NACK         : {nack_count}")
+    print(f"ERROR        : {error_count}")
+    print(f"Timeouts     : {timeout_count}")
+    print(f"Packet Rate  : {sent / elapsed:.1f} pkt/s")
+
+    if sent:
+        print(f"Mean RTT     : {1000*rtt_sum/sent:.3f} ms")
+        print(f"Min RTT      : {1000*rtt_min:.3f} ms")
+        print(f"Max RTT      : {1000*rtt_max:.3f} ms")
+
+
+# ==========================================================
+# Main
+# ==========================================================
+
+def main():
+
+    global running
+
+    print(f"Opening {PORT}")
+
+    ser = serial.Serial(
+        PORT,
+        BAUDRATE,
+        timeout=0.01,
+    )
+
+    threading.Thread(
+        target=reader,
+        args=(ser,),
+        daemon=True,
+    ).start()
+
+    print("Running benchmark...")
+
+    benchmark(ser)
+
+    running = False
+
+    ser.close()
+
+
+if __name__ == "__main__":
+    main()
\ No newline at end of file
diff --git a/servo_controller/scripts/speed_test3.py b/servo_controller/scripts/speed_test3.py
new file mode 100644
index 0000000..6f33c99
--- /dev/null
+++ b/servo_controller/scripts/speed_test3.py
@@ -0,0 +1,384 @@
+#!/usr/bin/env python3
+"""
+max_command_speed_test.py
+
+Finds the maximum stable command rate for the UART command protocol described
+by `struct command_message_t`, using the LED command (sent with length=0,
+i.e. no data bytes -- only the 5-byte header) as the test payload.
+
+Wire format (matches the firmware's ring-buffer parser):
+
+    [prefix:1][length:1][id:1][command:1][crc:1][data:length]
+
+Note the firmware only ever reads `length` bytes of data off the wire (see
+`usb_thread`), NOT the full 160-byte `data[]` array from the struct -- the
+160 bytes only exist in RAM. So we must only transmit `length` bytes.
+
+CRC: sum of prefix+length+id+command+0(crc placeholder)+data[0..length-1],
+mod 256, then crc = (0x100 - sum) & 0xff. This matches
+`command_calculate_crc()`, which runs while msg->crc is still 0 (it's set
+by the caller only *after* this function returns).
+
+Two test modes:
+
+  roundtrip  - send one command, wait for ACK/NACK, repeat. Measures the
+               sustainable rate when the host waits for each reply
+               (safest / simplest way to drive the device).
+
+  flood      - send a whole burst of commands back-to-back at a fixed
+               inter-command delay, then collect all the ACK/NACK replies
+               afterwards. This stresses the UART IRQ handler + ring buffer
+               directly and finds the max raw throughput the firmware can
+               absorb without dropping/desyncing bytes.
+
+The script sweeps delays (roundtrip) or a binary search on delay (flood) to
+find the smallest stable delay (i.e. highest command rate) that still gets
+a correct ACK for every command sent.
+
+Requires: pip install pyserial
+"""
+
+import argparse
+import struct
+import sys
+import time
+
+import serial
+
+# ---- Protocol constants (from firmware) -----------------------------------
+COMMAND_PREFIX = 0x69
+COMMAND_ID = 0x00
+COMMAND_DATA_SIZE = 160
+
+COMMAND_ACK = 0
+COMMAND_NACK = 1
+LED = 2
+
+HEADER_FMT = "<BBBBB"  # prefix, length, id, command, crc
+HEADER_LEN = struct.calcsize(HEADER_FMT)
+
+
+def calc_crc(length: int, command: int, data: bytes) -> int:
+    """Replicates command_calculate_crc(): sum over
+    [prefix, length, id, command, crc(=0 at calc time), data[:length]]"""
+    s = COMMAND_PREFIX + length + COMMAND_ID + command + 0
+    s += sum(data[:length])
+    return (0x100 - (s & 0xFF)) & 0xFF
+
+
+def build_packet(command: int, data: bytes = b"") -> bytes:
+    length = len(data)
+    if length > COMMAND_DATA_SIZE - 1:
+        raise ValueError(f"data too long: {length} > {COMMAND_DATA_SIZE - 1}")
+    crc = calc_crc(length, command, data)
+    return struct.pack(HEADER_FMT, COMMAND_PREFIX, length, COMMAND_ID, command, crc) + data
+
+
+def build_led_packet() -> bytes:
+    """LED command with no payload (length=0). Only the 5-byte header
+    [prefix][length=0][id][command][crc] is sent -- no data bytes at all."""
+    return build_packet(LED, b"")
+
+
+class ResponseError(Exception):
+    pass
+
+
+def read_response(ser: serial.Serial, timeout: float):
+    """Read one full response packet (ACK/NACK) from the wire, honoring
+    `timeout` seconds total. Returns dict with command/length/data/crc_ok,
+    or None on timeout."""
+    ser.timeout = timeout
+    deadline = time.monotonic() + timeout
+
+    # Scan for prefix byte
+    while True:
+        remaining = deadline - time.monotonic()
+        if remaining <= 0:
+            return None
+        ser.timeout = remaining
+        b = ser.read(1)
+        if not b:
+            return None
+        if b[0] == COMMAND_PREFIX:
+            break
+
+    remaining = deadline - time.monotonic()
+    if remaining <= 0:
+        return None
+    ser.timeout = remaining
+    hdr = ser.read(4)  # length, id, command, crc
+    if len(hdr) < 4:
+        return None
+    length, resp_id, command, crc = hdr
+
+    data = b""
+    if length:
+        remaining = deadline - time.monotonic()
+        if remaining <= 0:
+            return None
+        ser.timeout = remaining
+        data = ser.read(length)
+        if len(data) < length:
+            return None
+
+    expected_crc = calc_crc(length, command, data)
+    return {
+        "id": resp_id,
+        "command": command,
+        "length": length,
+        "data": data,
+        "crc": crc,
+        "crc_ok": crc == expected_crc,
+    }
+
+
+def send_led(ser: serial.Serial):
+    ser.write(build_led_packet())
+
+
+# ---- Test modes -------------------------------------------------------------
+
+def test_roundtrip(ser, delay, n, timeout):
+    """Send n commands, waiting for a valid ACK after each before sending
+    the next (with an *additional* `delay` seconds between send and next
+    send, on top of whatever the round-trip itself costs). Returns
+    (success_count, n, elapsed_seconds), where elapsed_seconds is the
+    *measured* wall-clock time for the whole trial -- not derived from
+    `delay`. This is what "rate" should be computed from, since at
+    delay=0 the round-trip latency (write + firmware processing + read)
+    is the real limiter, not some divide-by-zero fiction."""
+    ser.reset_input_buffer()
+    ok = 0
+    t_start = time.monotonic()
+    for i in range(n):
+        send_led(ser)
+        resp = read_response(ser, timeout)
+        if resp and resp["crc_ok"] and resp["command"] == COMMAND_ACK:
+            ok += 1
+        if delay:
+            time.sleep(delay)
+    elapsed = time.monotonic() - t_start
+    return ok, n, elapsed
+
+
+def test_flood(ser, delay, n, timeout):
+    """Send n commands back-to-back with only `delay` seconds between
+    sends (no waiting for replies in between), then collect n replies
+    afterward. Returns (success_count, n, elapsed_seconds).
+
+    elapsed_seconds covers the whole trial (send phase + collecting all
+    replies) as actually measured -- at delay=0 this still takes real,
+    nonzero time (write() syscalls, USB bulk transfer framing, the
+    firmware's IRQ handler + ring buffer + usb_thread all take time), so
+    this is the number that should be used to compute cmd/s, never
+    `1/delay`."""
+    ser.reset_input_buffer()
+    t_start = time.monotonic()
+    for i in range(n):
+        send_led(ser)
+        if delay:
+            time.sleep(delay)
+    send_duration = time.monotonic() - t_start
+
+    ok = 0
+    # give it time proportional to what we sent, plus per-reply timeout
+    end_deadline = time.monotonic() + timeout + send_duration
+    for i in range(n):
+        remaining = end_deadline - time.monotonic()
+        if remaining <= 0:
+            break
+        resp = read_response(ser, remaining)
+        if resp and resp["crc_ok"] and resp["command"] == COMMAND_ACK:
+            ok += 1
+        elif resp is None:
+            break
+    elapsed = time.monotonic() - t_start
+    return ok, n, elapsed
+
+
+def achieved_rate(ok, elapsed):
+    """cmd/s actually measured, based on successful commands over real
+    wall-clock time. Never derived from the requested delay."""
+    if elapsed <= 0:
+        return 0.0
+    return ok / elapsed
+
+
+# ---- Sweep / search logic ----------------------------------------------------
+
+def find_max_rate(ser, mode, n, timeout, success_threshold, start_delay, min_delay, verbose):
+    """Binary search the smallest stable inter-command delay that still
+    achieves >= success_threshold success ratio. Returns
+    (best_delay, measured_rate_at_best_delay).
+
+    Rate is always the *measured* cmd/s from the trial, never 1/delay --
+    at delay=0 the requested delay tells you nothing about the actual
+    ceiling, which is set by write()/USB overhead and firmware processing
+    time, not by our sleep() calls."""
+    test_fn = test_roundtrip if mode == "roundtrip" else test_flood
+    last_rate = 0.0
+
+    def trial(delay):
+        nonlocal last_rate
+        ok, total, elapsed = test_fn(ser, delay, n, timeout)
+        ratio = ok / total if total else 0.0
+        rate = achieved_rate(ok, elapsed)
+        last_rate = rate
+        if verbose:
+            print(f"  delay={delay*1000:8.3f} ms  measured_rate={rate:9.1f} cmd/s  "
+                  f"success={ok}/{total} ({ratio*100:5.1f}%)  elapsed={elapsed*1000:.1f} ms")
+        return ratio >= success_threshold
+
+    lo, hi = min_delay, start_delay
+    if not trial(hi):
+        print(f"WARNING: even the slow starting delay ({hi*1000:.3f} ms) failed "
+              f"the success threshold. Try increasing --start-delay.")
+        return hi, last_rate
+    hi_rate = last_rate
+
+    if trial(lo):
+        # Even the fastest requested delay was stable. That does NOT mean
+        # the rate is infinite -- it means we've hit the real ceiling
+        # (write()/USB/firmware), and last_rate is the measured number
+        # for it. Report that instead of pretending it's unbounded.
+        print(f"NOTE: even the fastest delay ({lo*1000:.3f} ms) passed, at a "
+              f"measured {last_rate:.1f} cmd/s. That's likely the true ceiling "
+              f"(write()/USB overhead + firmware processing), not an artifact "
+              f"of --min-delay. Run --soak to confirm it holds over a longer run.")
+        return lo, last_rate
+
+    # Binary search between lo (fails) and hi (passes) for smallest passing delay
+    best_rate = hi_rate
+    for _ in range(20):
+        mid = (lo + hi) / 2.0
+        if trial(mid):
+            hi = mid
+            best_rate = last_rate
+        else:
+            lo = mid
+        if hi - lo < 1e-5:  # 0.01 ms resolution
+            break
+
+    return hi, best_rate
+
+
+def soak_test(ser, mode, delay, duration_s, timeout):
+    """Run continuously at a fixed delay for `duration_s` seconds and
+    report the measured sustained cmd/s and success ratio. Use this to
+    confirm a delay=0 (or any) result actually holds up over time, since
+    a short burst can pass while a longer run reveals ring-buffer
+    overflow or drift."""
+    test_fn = test_roundtrip if mode == "roundtrip" else test_flood
+    t_start = time.monotonic()
+    total_ok = 0
+    total_n = 0
+    # run in chunks so we can report progress and stop at duration_s
+    chunk = 200
+    while time.monotonic() - t_start < duration_s:
+        ok, n, elapsed = test_fn(ser, delay, chunk, timeout)
+        total_ok += ok
+        total_n += n
+        rate = achieved_rate(total_ok, time.monotonic() - t_start)
+        print(f"  soak: {total_ok}/{total_n} ok so far, "
+              f"sustained rate={rate:.1f} cmd/s, "
+              f"t={time.monotonic() - t_start:5.1f}s / {duration_s}s")
+    elapsed = time.monotonic() - t_start
+    ratio = total_ok / total_n if total_n else 0.0
+    rate = achieved_rate(total_ok, elapsed)
+    return total_ok, total_n, ratio, rate
+
+
+def sweep(ser, mode, n, timeout, delays, verbose=True):
+    test_fn = test_roundtrip if mode == "roundtrip" else test_flood
+    results = []
+    print(f"\n{'delay (ms)':>12} {'measured cmd/s':>16} {'success':>10} {'ratio':>8}")
+    print("-" * 52)
+    for delay in delays:
+        ok, total, elapsed = test_fn(ser, delay, n, timeout)
+        ratio = ok / total if total else 0.0
+        rate = achieved_rate(ok, elapsed)  # measured, never 1/delay
+        print(f"{delay*1000:12.3f} {rate:16.1f} {ok:>4}/{total:<5} {ratio*100:7.1f}%")
+        results.append((delay, ok, total, ratio, rate))
+    return results
+
+
+def main():
+    ap = argparse.ArgumentParser(description=__doc__,
+                                  formatter_class=argparse.RawDescriptionHelpFormatter)
+    ap.add_argument("--port", default="/dev/ttyACM0")
+    ap.add_argument("--baud", type=int, default=115200,
+                     help="Baud rate (often ignored by USB CDC-ACM, but set for compatibility)")
+    ap.add_argument("--mode", choices=["roundtrip", "flood"], default="roundtrip",
+                     help="roundtrip: wait for ACK after each send. "
+                          "flood: send a burst, then collect replies (tests raw UART/ring-buffer throughput)")
+    ap.add_argument("-n", type=int, default=200, help="Commands per trial")
+    ap.add_argument("--timeout", type=float, default=0.5, help="Per-response read timeout (s)")
+    ap.add_argument("--success-threshold", type=float, default=1.0,
+                     help="Required success ratio to call a rate 'stable' (0-1)")
+    ap.add_argument("--start-delay", type=float, default=0.02,
+                     help="Slow starting inter-command delay in seconds for the search (known-good)")
+    ap.add_argument("--min-delay", type=float, default=0.0,
+                     help="Fastest inter-command delay to try, in seconds (0 = back-to-back)")
+    ap.add_argument("--sweep", action="store_true",
+                     help="Also print a full table sweeping delays geometrically "
+                          "from --start-delay down to --min-delay-floor")
+    ap.add_argument("--min-delay-floor", type=float, default=0.0005,
+                     help="Smallest delay used for --sweep table (s)")
+    ap.add_argument("--sweep-steps", type=int, default=12)
+    ap.add_argument("--soak", type=float, default=0.0,
+                     help="After the search, run this many seconds at the best "
+                          "delay found to confirm the rate holds up over time "
+                          "(recommended, especially when the best delay is 0)")
+    args = ap.parse_args()
+
+    print(f"Opening {args.port} @ {args.baud} baud, mode={args.mode}, n={args.n}/trial")
+    ser = serial.Serial(args.port, args.baud, timeout=args.timeout)
+    time.sleep(0.2)  # let the port settle
+    ser.reset_input_buffer()
+    ser.reset_output_buffer()
+
+    try:
+        if args.sweep:
+            delays = []
+            hi, lo = args.start_delay, args.min_delay_floor
+            steps = max(args.sweep_steps, 1)
+            for i in range(steps):
+                frac = i / (steps - 1) if steps > 1 else 0
+                # geometric interpolation from hi -> lo
+                d = hi * ((lo / hi) ** frac) if hi > 0 else 0
+                delays.append(d)
+            sweep(ser, args.mode, args.n, args.timeout, delays)
+            print()
+
+        print("Binary-searching for max stable command rate...")
+        best_delay, best_rate = find_max_rate(
+            ser, args.mode, args.n, args.timeout,
+            args.success_threshold, args.start_delay, args.min_delay,
+            verbose=True,
+        )
+
+        print("\n=== Result ===")
+        print(f"Max stable inter-command delay: {best_delay*1000:.3f} ms")
+        print(f"Measured rate at that delay: {best_rate:.1f} commands/sec "
+              f"(measured from actual elapsed time over {args.n} commands, "
+              f"not derived from the delay)")
+        print(f"(mode={args.mode}, n={args.n}, success_threshold={args.success_threshold*100:.0f}%)")
+
+        if args.soak > 0:
+            print(f"\nRunning {args.soak:.0f}s soak test at delay={best_delay*1000:.3f} ms "
+                  f"to confirm this holds up over time...")
+            ok, total, ratio, rate = soak_test(ser, args.mode, best_delay, args.soak, args.timeout)
+            print(f"\nSoak result: {ok}/{total} ok ({ratio*100:.1f}%), "
+                  f"sustained rate={rate:.1f} cmd/s over {args.soak:.0f}s")
+            if ratio < args.success_threshold:
+                print("WARNING: the short trial passed but the soak test did NOT hold up -- "
+                      "the real stable rate is lower than reported above. Try a slower "
+                      "--start-delay / larger --min-delay and re-run.")
+
+    finally:
+        ser.close()
+
+
+if __name__ == "__main__":
+    main()
\ No newline at end of file
diff --git a/servo_controller/src/command_handler.c b/servo_controller/src/command_handler.c
new file mode 100644
index 0000000..ffb688c
--- /dev/null
+++ b/servo_controller/src/command_handler.c
@@ -0,0 +1,47 @@
+#include "command_handler.h"
+#include "led.h"
+
+#include <zephyr/logging/log.h>
+
+LOG_MODULE_REGISTER(command_handler, LOG_LEVEL_INF);
+
+int command_handler(struct command_message_t *msg) {
+	if (msg == NULL) {
+		LOG_ERR("Received NULL message pointer");
+		return -EINVAL;
+	}
+
+	LOG_DBG("Processing command: %d, length: %d", msg->command, msg->length);
+
+	switch (msg->command) {
+		case LED_TOGGLE: {
+			// Toggle LED
+			int led = msg->data[0];
+
+			if (!led) {
+				led0_toggle();
+			}
+			else {
+				led1_toggle();
+			}
+			break;
+		}
+
+		case LED_SET: {
+			// Set LED
+			int led = msg->data[0];
+			int state = msg->data[1];
+
+			led_set(led, state);
+
+			break;
+		}
+
+		default: {
+			LOG_WRN("Unknown command received: %d", msg->command);
+			return -EINVAL;
+		}
+	}
+
+	return 0;
+}
\ No newline at end of file
diff --git a/servo_controller/src/command_handler.h b/servo_controller/src/command_handler.h
new file mode 100644
index 0000000..9e0f904
--- /dev/null
+++ b/servo_controller/src/command_handler.h
@@ -0,0 +1,16 @@
+#ifndef COMMAND_HANDLER_H
+#define COMMAND_HANDLER_H
+
+
+#include "command_message.h"
+
+/**
+ * @brief Process received command message
+ * 
+ * @param msg Command message to process
+ * @return 0 on success, negative errno on failure
+ */
+int command_handler(struct command_message_t *msg);
+
+
+#endif // COMMAND_HANDLER_H
\ No newline at end of file
diff --git a/servo_controller/src/command_message.c b/servo_controller/src/command_message.c
new file mode 100644
index 0000000..2e175cc
--- /dev/null
+++ b/servo_controller/src/command_message.c
@@ -0,0 +1,75 @@
+#include "command_message.h"
+
+#include <string.h>
+#include <zephyr/logging/log.h>
+
+LOG_MODULE_REGISTER(command_message, LOG_LEVEL_INF);
+
+void command_message_init(struct command_message_t *msg) {
+	memset(msg, 0, sizeof(struct command_message_t));
+	msg->prefix = COMMAND_PREFIX;
+	msg->id = COMMAND_ID;
+}
+
+void command_create_message(struct command_message_t *msg, uint8_t length, commands_e command, uint8_t data[160]) {
+	// Ensure length doesn't exceed available space
+	if (length > sizeof(msg->data) - 1) {
+		return;
+	}
+
+	command_message_init(msg);
+	msg->length = length;
+	msg->command = command;
+
+	// Copy the data
+	if (data != NULL) {
+		for (int i = 0; i < msg->length; i++) {
+			msg->data[i] = data[i];
+		}
+	}
+	msg->crc = command_calculate_crc(msg);
+}
+
+uint8_t command_calculate_crc(struct command_message_t *msg) {
+	uint32_t sum = 0;
+	uint8_t crc = 0;
+
+	uint8_t *byte_ptr = (uint8_t *)msg;
+	int loop_length = (sizeof(struct command_message_t) - sizeof(msg->data) + msg->length);
+
+	for (int i = 0; i < loop_length; i++) {
+		if (i == 4) { continue; }
+		sum += byte_ptr[i];
+	}
+
+	crc = 0x100 - (sum & 0xff);
+
+	return crc;
+}
+
+void command_create_ack(struct command_message_t *msg) {
+	command_create_message(msg, 0, COMMAND_ACK, NULL);
+}
+
+void command_create_nack(struct command_message_t *msg) {
+	command_create_message(msg, 0, COMMAND_NACK, NULL);
+}
+
+void command_log(struct command_message_t *msg) {
+	if (msg->length > sizeof(msg->data) - 1) {
+		LOG_ERR("Message length too long: %d", msg->length);
+		return;
+	}
+
+	LOG_INF("Prefix: %d\n\r", msg->prefix);
+	LOG_INF("Length: %d\n\r", msg->length);
+	LOG_INF("COMMAND_ID: %d\n\r", msg->id);
+	LOG_INF("Command: %d\n\r", msg->command);
+	LOG_INF("Data:\n\r");
+
+	for (int i = 0; i < msg->length; i++) {
+		LOG_INF("%d", msg->data[i]);
+	}
+
+	LOG_INF("CRC: %d\n\r", msg->crc);
+}
\ No newline at end of file
diff --git a/servo_controller/src/command_message.h b/servo_controller/src/command_message.h
new file mode 100644
index 0000000..4d6a6ac
--- /dev/null
+++ b/servo_controller/src/command_message.h
@@ -0,0 +1,75 @@
+#ifndef COMMAND_MESSAGE_H
+#define COMMAND_MESSAGE_H
+
+
+#include <stdint.h>
+
+
+#define COMMAND_PREFIX 0x69
+#define COMMAND_ID 0x00
+#define COMMAND_DATA_SIZE 160
+
+typedef enum {
+	COMMAND_ACK,
+	COMMAND_NACK,
+	LED_TOGGLE,
+	LED_SET,
+} commands_e;
+
+struct command_message_t {
+	uint8_t prefix;
+	uint8_t length;
+	uint8_t id;
+	uint8_t command;
+	uint8_t crc;
+	uint8_t data[COMMAND_DATA_SIZE];
+} __attribute__((packed));
+
+/**
+ * @brief Initialize command message to default state
+ * 
+ * @param msg Message to initialize
+ */
+void command_message_init(struct command_message_t *msg);
+
+/**
+ * @brief Create command message with data and CRC
+ * 
+ * @param msg Message to populate
+ * @param length Data length in bytes
+ * @param command Command type
+ * @param data Data payload
+ */
+void command_create_message(struct command_message_t *msg, uint8_t length, commands_e command, uint8_t data[160]);
+
+/**
+ * @brief Calculate CRC for command message
+ * 
+ * @param msg Message to calculate CRC for
+ * @return CRC value
+ */
+uint8_t command_calculate_crc(struct command_message_t *msg);
+
+/**
+ * @brief Create ACK command message
+ * 
+ * @param msg Message to populate
+ */
+void command_create_ack(struct command_message_t *msg);
+
+/**
+ * @brief Create NACK command message
+ * 
+ * @param msg Message to populate
+ */
+void command_create_nack(struct command_message_t *msg);
+
+/**
+ * @brief Print the command with LOG
+ * 
+ * @param msg Message to calculate CRC for
+ */
+void command_log(struct command_message_t *msg);
+
+
+#endif // COMMAND_MESSAGE_H
\ No newline at end of file
diff --git a/servo_controller/src/led.c b/servo_controller/src/led.c
new file mode 100644
index 0000000..1be3d31
--- /dev/null
+++ b/servo_controller/src/led.c
@@ -0,0 +1,81 @@
+#include "led.h"
+
+#include <zephyr/logging/log.h>
+#include <zephyr/drivers/gpio.h>
+
+LOG_MODULE_REGISTER(led, LOG_LEVEL_INF);
+
+static const struct gpio_dt_spec led0_gpio = GPIO_DT_SPEC_GET(DT_ALIAS(led0), gpios);
+static const struct gpio_dt_spec led1_gpio = GPIO_DT_SPEC_GET(DT_ALIAS(led1), gpios);
+static int led_states[2] = {0, 0};
+
+static int pin_init(const struct gpio_dt_spec *dt) {
+	int ret;
+
+	if (!device_is_ready(dt->port)) {
+		LOG_ERR("LED0 GPIO device not ready");
+		return -ENODEV;
+	}
+
+	ret = gpio_pin_configure_dt(dt, GPIO_OUTPUT_INACTIVE);
+	if (ret != 0) {
+		LOG_ERR("Failed to configure LED0 GPIO: %d", ret);
+		return ret;
+	}
+
+	// Turn it off
+	ret = gpio_pin_set_dt(dt, 0);
+	if (ret != 0) {
+		LOG_ERR("Failed to initialize LED");
+		return ret;
+	}
+
+	LOG_INF("LED driver initialized (GPIO %d)", dt->pin);
+
+	return 0;
+}
+
+int led_init() {
+	int ret;
+
+	ret = pin_init(&led0_gpio);
+	if (ret != 0) {
+		return ret;
+	}
+
+	ret = pin_init(&led1_gpio);
+	if (ret != 0) {
+		return ret;
+	}
+
+	return 0;
+}
+
+int led_set(int led, int state) {
+	int ret;
+	int set_led = led ? 1 : 0;
+	led_states[set_led] = state ? 1 : 0;
+
+	if (!set_led) {
+		ret = gpio_pin_set_dt(&led0_gpio, led_states[set_led]);
+		if (ret != 0) {
+			LOG_ERR("Failed to set LED0: %d", ret);
+		}
+	}
+	else {
+		ret = gpio_pin_set_dt(&led1_gpio, led_states[set_led]);
+		if (ret != 0) {
+			LOG_ERR("Failed to set LED1: %d", ret);
+		}
+	}
+
+	return ret;
+}
+
+int led0_toggle() {
+	return led_set(0, !led_states[0]);
+}
+
+int led1_toggle() {
+	return led_set(1, !led_states[1]);
+}
\ No newline at end of file
diff --git a/servo_controller/src/led.h b/servo_controller/src/led.h
new file mode 100644
index 0000000..ff09132
--- /dev/null
+++ b/servo_controller/src/led.h
@@ -0,0 +1,11 @@
+#ifndef LED_H
+#define LED_H
+
+
+int led_init();
+int led_set(int led, int state);
+int led0_toggle();
+int led1_toggle();
+
+
+#endif // LED_H
\ No newline at end of file
diff --git a/servo_controller/src/main.c b/servo_controller/src/main.c
new file mode 100644
index 0000000..0f6fd28
--- /dev/null
+++ b/servo_controller/src/main.c
@@ -0,0 +1,24 @@
+#include "led.h"
+#include "usb.h"
+
+#include <zephyr/logging/log.h>
+LOG_MODULE_REGISTER(main, LOG_LEVEL_INF);
+
+
+int main(void) {
+	int ret;
+
+	ret = usb_init();
+	if (ret != 0) {
+		LOG_ERR("Failed to enable USB");
+		return 0;
+	}
+
+	ret = led_init();
+	if (ret != 0) {
+		LOG_ERR("Failed to enable LED");
+		return 0;
+	}
+
+	return 0;
+}
\ No newline at end of file
diff --git a/servo_controller/src/servo.c b/servo_controller/src/servo.c
new file mode 100644
index 0000000..b807ba6
--- /dev/null
+++ b/servo_controller/src/servo.c
@@ -0,0 +1,37 @@
+#include "servo.h"
+
+#include <zephyr/logging/log.h>
+#include <zephyr/drivers/pwm.h>
+
+LOG_MODULE_REGISTER(servo, LOG_LEVEL_INF);
+
+// ----------- SERVOS -----------
+static const struct pwm_dt_spec servo_pwm_specs[NUM_SERVO_CHANNELS] = {
+	PWM_DT_SPEC_GET(DT_ALIAS(servo1)),
+	PWM_DT_SPEC_GET(DT_ALIAS(servo2)),
+	PWM_DT_SPEC_GET(DT_ALIAS(servo3)),
+	PWM_DT_SPEC_GET(DT_ALIAS(servo4)),
+	PWM_DT_SPEC_GET(DT_ALIAS(servo5)),
+	PWM_DT_SPEC_GET(DT_ALIAS(servo6)),
+	PWM_DT_SPEC_GET(DT_ALIAS(servo7)),
+	PWM_DT_SPEC_GET(DT_ALIAS(servo8)),
+	PWM_DT_SPEC_GET(DT_ALIAS(servo9)),
+	PWM_DT_SPEC_GET(DT_ALIAS(servo10)),
+	PWM_DT_SPEC_GET(DT_ALIAS(servo11)),
+	PWM_DT_SPEC_GET(DT_ALIAS(servo12)),
+	PWM_DT_SPEC_GET(DT_ALIAS(servo13)),
+	PWM_DT_SPEC_GET(DT_ALIAS(servo14)),
+	PWM_DT_SPEC_GET(DT_ALIAS(servo15)),
+	PWM_DT_SPEC_GET(DT_ALIAS(servo16)),
+	PWM_DT_SPEC_GET(DT_ALIAS(servo17)),
+	PWM_DT_SPEC_GET(DT_ALIAS(servo18)),
+};
+
+
+static int pin_init(const ) {
+
+}
+
+int servo_init() {
+
+}
\ No newline at end of file
diff --git a/servo_controller/src/servo.h b/servo_controller/src/servo.h
new file mode 100644
index 0000000..da6a805
--- /dev/null
+++ b/servo_controller/src/servo.h
@@ -0,0 +1,13 @@
+#ifndef SERVO_H
+#define SERVO_H
+
+
+
+#define NUM_SERVO_CHANNELS 18
+
+
+
+int servo_init();
+
+
+#endif // SERVO_H
\ No newline at end of file
diff --git a/servo_controller/src/usb.c b/servo_controller/src/usb.c
new file mode 100644
index 0000000..f16bba2
--- /dev/null
+++ b/servo_controller/src/usb.c
@@ -0,0 +1,231 @@
+#include "usb.h"
+#include "usb_conf.h"
+#include "command_handler.h"
+
+#include <zephyr/logging/log.h>
+#include <zephyr/device.h>
+#include <zephyr/drivers/uart.h>
+#include <zephyr/kernel.h>
+#include <zephyr/sys/ring_buffer.h>
+
+// PICO-SDK
+#include "pico/bootrom.h"
+
+LOG_MODULE_REGISTER(usb, LOG_LEVEL_INF);
+
+// DEVICE
+const struct device *const uart_dev = DEVICE_DT_GET_ONE(zephyr_cdc_acm_uart);
+static struct usbd_context *usb_context;
+
+// THREAD
+static struct k_thread usb_thread_data;
+static k_tid_t usb_thread_id = NULL;
+#define USB_THREAD_STACK_SIZE 2048
+K_THREAD_STACK_DEFINE(usb_thread_stack, USB_THREAD_STACK_SIZE);
+
+// RX BUFFER
+#define RING_BUF_SIZE 255
+static uint8_t ring_buffer[RING_BUF_SIZE];
+static struct ring_buf ringbuf;
+struct k_sem rx_semaphore;
+
+// ACK / NACK messages
+#define RETURN_ACK true
+struct command_message_t ack_msg;
+struct command_message_t nack_msg;
+
+
+static void interrupt_handler(const struct device *dev, void *user_data) {
+	ARG_UNUSED(user_data);
+
+	while (true) {
+		uart_irq_update(dev);
+
+		if (uart_irq_is_pending(dev) <= 0) {
+			break;
+		}
+
+		if (uart_irq_rx_ready(dev)) {
+			int recv_len, rb_len;
+			uint8_t buffer[64];
+			size_t len = MIN(ring_buf_space_get(&ringbuf), sizeof(buffer));
+
+			if (len == 0) {
+				// ring buffer full, drops package(s)
+			    uart_irq_rx_disable(dev);
+				k_sem_give(&rx_semaphore);
+				break;
+			}
+
+			recv_len = uart_fifo_read(dev, buffer, len);
+			if (recv_len < 0) {
+				LOG_ERR("Failed to read UART FIFO");
+				recv_len = 0;
+			};
+
+			rb_len = ring_buf_put(&ringbuf, buffer, recv_len);
+			if (rb_len < recv_len) {
+				LOG_ERR("Drop %u bytes", recv_len - rb_len);
+			}
+
+			k_sem_give(&rx_semaphore);
+		}
+	}
+}
+
+static void usb_thread(void *p1, void *p2, void *p3) {
+	ARG_UNUSED(p1);
+	ARG_UNUSED(p2);
+	ARG_UNUSED(p3);
+	struct command_message_t msg;
+	command_message_init(&msg);
+	
+	LOG_INF("USB command processing thread started");
+	
+	while (1) {
+		k_sem_take(&rx_semaphore, K_FOREVER);
+
+		int len;
+
+		// While ring buffer has data
+		do {
+			uint8_t buf_prefix;
+			len = ring_buf_get(&ringbuf, &buf_prefix, 1);
+
+			if (len && (buf_prefix == COMMAND_PREFIX)) {
+				uint8_t buf_header[4];
+				len = ring_buf_get(&ringbuf, buf_header, 4);
+
+				if ((len == 4) && (buf_header[1] == COMMAND_ID) && (buf_header[0] <= COMMAND_DATA_SIZE)) {
+					msg.length = buf_header[0];
+					msg.command = buf_header[2];
+					msg.crc = buf_header[3];
+
+					if (msg.length) {
+						len = ring_buf_get(&ringbuf, msg.data, msg.length);
+					}
+
+					uint8_t calculated_crc = command_calculate_crc(&msg);
+					if (calculated_crc != msg.crc) {
+						if (RETURN_ACK) {
+							// Send NACK
+							usb_send_command(&nack_msg);
+						}
+						continue;
+					}
+
+					int ret = command_handler(&msg);
+					if (ret == 0) {
+						if (RETURN_ACK) {
+							// Send ACK
+							usb_send_command(&ack_msg);
+						}
+					}
+					else {
+						if (RETURN_ACK) {
+							// Send NACK
+							usb_send_command(&nack_msg);
+						}
+					}
+
+				}
+				else {
+					// Command_id did not match, ignore
+					continue;
+				}
+			}
+			else {
+				// Prefix did not match, ignore
+				continue;
+			}
+		} while (len > 0);
+
+		uart_irq_rx_enable(uart_dev);
+	}
+	
+	LOG_INF("USB command processing thread exiting");
+}
+
+static void usb_msg_cb(struct usbd_context *const ctx, const struct usbd_msg *msg) {
+	if (msg->type == USBD_MSG_CDC_ACM_LINE_CODING) {
+		// Jump to BOOTSEL when baudrate changes to 1200
+		uint32_t baudrate;
+
+		if (uart_line_ctrl_get(msg->dev, UART_LINE_CTRL_BAUD_RATE, &baudrate) == 0) {
+			LOG_INF("Baudrate %u", baudrate);
+
+			if (baudrate == 1200) {
+				LOG_INF("Entering BOOTSEL...");
+				reset_usb_boot(0, 0);
+			}
+		}
+	}
+}
+
+int usb_init() {
+	ring_buf_init(&ringbuf, sizeof(ring_buffer), ring_buffer);
+	k_sem_init(&rx_semaphore, 0, 1);
+
+	command_create_ack(&ack_msg);
+	command_create_nack(&nack_msg);
+
+	int ret;
+
+	if (!device_is_ready(uart_dev)) {
+		LOG_ERR("CDC ACM device not ready");
+		return -ENODEV;
+	}
+
+	usb_context = usb_device_init(usb_msg_cb);
+	if (usb_context == NULL) {
+		LOG_ERR("Failed to initialize USB device");
+		return -ENODEV;
+	}
+
+	if (!usbd_can_detect_vbus(usb_context)) {
+		ret = usbd_enable(usb_context);
+		if (ret) {
+			LOG_ERR("Failed to enable device support");
+			return ret;
+		}
+	}
+	k_msleep(100);
+
+	uart_irq_callback_set(uart_dev, interrupt_handler);
+	uart_irq_rx_enable(uart_dev);
+
+	usb_thread_id = k_thread_create(
+		&usb_thread_data,
+		usb_thread_stack,
+		K_THREAD_STACK_SIZEOF(usb_thread_stack),
+		usb_thread,
+		NULL, NULL, NULL,
+		5,
+		0,
+		K_NO_WAIT
+	);
+
+	if (usb_thread_id == NULL) {
+		LOG_ERR("Failed to create USB thread");
+		return -ENOMEM;
+	}
+
+	return ret;
+}
+
+int usb_send_command(struct command_message_t *msg) {
+	if (!device_is_ready(uart_dev)) {
+		return -ENODEV;
+	}
+
+	// Message size: prefix + length + id + command + crc + data
+	size_t msg_size = 5 + msg->length;
+	uint8_t *msg_bytes = (uint8_t *)msg;
+
+	/* uart_poll_out blocks until sent, ensuring data integrity */
+	for (size_t i = 0; i < msg_size; i++) {
+		uart_poll_out(uart_dev, msg_bytes[i]);
+	}
+
+	return 0;
+}
\ No newline at end of file
diff --git a/servo_controller/src/usb.h b/servo_controller/src/usb.h
new file mode 100644
index 0000000..6ca1e6d
--- /dev/null
+++ b/servo_controller/src/usb.h
@@ -0,0 +1,12 @@
+#ifndef USB_H
+#define USB_H
+
+
+#include "command_message.h"
+
+
+int usb_init();
+int usb_send_command(struct command_message_t *msg);
+
+
+#endif // USB_H
\ No newline at end of file
diff --git a/servo_controller/src/usb_conf.c b/servo_controller/src/usb_conf.c
new file mode 100644
index 0000000..91cc5b4
--- /dev/null
+++ b/servo_controller/src/usb_conf.c
@@ -0,0 +1,184 @@
+#include "usb_conf.h"
+
+#include <stdint.h>
+#include <zephyr/device.h>
+#include <zephyr/usb/usbd.h>
+#include <zephyr/usb/bos.h>
+#include <zephyr/logging/log.h>
+
+LOG_MODULE_REGISTER(usb_conf, LOG_LEVEL_DBG);
+
+/* By default, do not register the USB DFU class DFU mode instance. */
+static const char *const blocklist[] = {
+	"dfu_dfu",
+	NULL,
+};
+
+/*
+ * Instantiate a context named my_usb_context using the default USB device
+ * controller, the Zephyr project vendor ID, and the sample product ID.
+ * Zephyr project vendor ID must not be used outside of Zephyr samples.
+ */
+USBD_DEVICE_DEFINE(my_usb_context,
+		   DEVICE_DT_GET(DT_NODELABEL(zephyr_udc0)),
+		   CONFIG_USBD_VID, CONFIG_USBD_PID);
+
+USBD_DESC_LANG_DEFINE(my_usb_lang);
+USBD_DESC_MANUFACTURER_DEFINE(my_usb_mfr, CONFIG_USBD_MANUFACTURER);
+USBD_DESC_PRODUCT_DEFINE(my_usb_product, CONFIG_USBD_PRODUCT);
+IF_ENABLED(CONFIG_HWINFO, (USBD_DESC_SERIAL_NUMBER_DEFINE(my_usb_serial)));
+
+USBD_DESC_CONFIG_DEFINE(fs_cfg_desc, "FS Configuration");
+USBD_DESC_CONFIG_DEFINE(hs_cfg_desc, "HS Configuration");
+
+static const uint8_t attributes = (IS_ENABLED(CONFIG_USBD_SELF_POWERED) ?
+				   USB_SCD_SELF_POWERED : 0) |
+				  (IS_ENABLED(CONFIG_USBD_REMOTE_WAKEUP) ?
+				   USB_SCD_REMOTE_WAKEUP : 0);
+
+/* Full speed configuration */
+USBD_CONFIGURATION_DEFINE(sample_fs_config,
+			  attributes,
+			  CONFIG_USBD_MAX_POWER, &fs_cfg_desc);
+
+/* High speed configuration */
+USBD_CONFIGURATION_DEFINE(sample_hs_config,
+			  attributes,
+			  CONFIG_USBD_MAX_POWER, &hs_cfg_desc);
+
+#if CONFIG_SAMPLE_USBD_20_EXTENSION_DESC
+/*
+ * This does not yet provide valuable information, but rather serves as an
+ * example, and will be improved in the future.
+ */
+static const struct usb_bos_capability_lpm bos_cap_lpm = {
+	.bLength = sizeof(struct usb_bos_capability_lpm),
+	.bDescriptorType = USB_DESC_DEVICE_CAPABILITY,
+	.bDevCapabilityType = USB_BOS_CAPABILITY_EXTENSION,
+	.bmAttributes = 0UL,
+};
+
+USBD_DESC_BOS_DEFINE(my_usb_usbext, sizeof(bos_cap_lpm), &bos_cap_lpm);
+#endif
+
+static void usb_fix_code_triple(struct usbd_context *uds_ctx, const enum usbd_speed speed) {
+	/* Always use class code information from Interface Descriptors */
+	if (IS_ENABLED(CONFIG_USBD_CDC_ACM_CLASS) ||
+	    IS_ENABLED(CONFIG_USBD_CDC_ECM_CLASS) ||
+	    IS_ENABLED(CONFIG_USBD_CDC_NCM_CLASS) ||
+	    IS_ENABLED(CONFIG_USBD_MIDI2_CLASS) ||
+	    IS_ENABLED(CONFIG_USBD_AUDIO2_CLASS) ||
+	    IS_ENABLED(CONFIG_USBD_VIDEO_CLASS)) {
+		/*
+		 * Class with multiple interfaces have an Interface
+		 * Association Descriptor available, use an appropriate triple
+		 * to indicate it.
+		 */
+		usbd_device_set_code_triple(uds_ctx, speed,
+					    USB_BCC_MISCELLANEOUS, 0x02, 0x01);
+	} else {
+		usbd_device_set_code_triple(uds_ctx, speed, 0, 0, 0);
+	}
+}
+
+struct usbd_context *usb_device_setup(usbd_msg_cb_t msg_cb) {
+	int err;
+
+	err = usbd_add_descriptor(&my_usb_context, &my_usb_lang);
+	if (err) {
+		LOG_ERR("Failed to initialize language descriptor (%d)", err);
+		return NULL;
+	}
+
+	err = usbd_add_descriptor(&my_usb_context, &my_usb_mfr);
+	if (err) {
+		LOG_ERR("Failed to initialize manufacturer descriptor (%d)", err);
+		return NULL;
+	}
+
+	err = usbd_add_descriptor(&my_usb_context, &my_usb_product);
+	if (err) {
+		LOG_ERR("Failed to initialize product descriptor (%d)", err);
+		return NULL;
+	}
+
+	IF_ENABLED(CONFIG_HWINFO, (
+		err = usbd_add_descriptor(&my_usb_context, &my_usb_serial);
+	))
+	if (err) {
+		LOG_ERR("Failed to initialize SN descriptor (%d)", err);
+		return NULL;
+	}
+
+	if (USBD_SUPPORTS_HIGH_SPEED &&
+	    usbd_caps_speed(&my_usb_context) == USBD_SPEED_HS) {
+		err = usbd_add_configuration(&my_usb_context, USBD_SPEED_HS,
+					     &sample_hs_config);
+		if (err) {
+			LOG_ERR("Failed to add High-Speed configuration");
+			return NULL;
+		}
+
+		err = usbd_register_all_classes(&my_usb_context, USBD_SPEED_HS, 1,
+						blocklist);
+		if (err) {
+			LOG_ERR("Failed to add register classes");
+			return NULL;
+		}
+
+		usb_fix_code_triple(&my_usb_context, USBD_SPEED_HS);
+	}
+
+	err = usbd_add_configuration(&my_usb_context, USBD_SPEED_FS,
+				     &sample_fs_config);
+	if (err) {
+		LOG_ERR("Failed to add Full-Speed configuration");
+		return NULL;
+	}
+
+	err = usbd_register_all_classes(&my_usb_context, USBD_SPEED_FS, 1, blocklist);
+	if (err) {
+		LOG_ERR("Failed to add register classes");
+		return NULL;
+	}
+
+	usb_fix_code_triple(&my_usb_context, USBD_SPEED_FS);
+	usbd_self_powered(&my_usb_context, attributes & USB_SCD_SELF_POWERED);
+
+	if (msg_cb != NULL) {
+		err = usbd_msg_register_cb(&my_usb_context, msg_cb);
+		if (err) {
+			LOG_ERR("Failed to register message callback");
+			return NULL;
+		}
+	}
+
+#if CONFIG_SAMPLE_USBD_20_EXTENSION_DESC
+	(void)usbd_device_set_bcd_usb(&my_usb_context, USBD_SPEED_FS, 0x0201);
+	(void)usbd_device_set_bcd_usb(&my_usb_context, USBD_SPEED_HS, 0x0201);
+
+	err = usbd_add_descriptor(&my_usb_context, &my_usb_usbext);
+	if (err) {
+		LOG_ERR("Failed to add USB 2.0 Extension Descriptor");
+		return NULL;
+	}
+#endif
+
+	return &my_usb_context;
+}
+
+struct usbd_context *usb_device_init(usbd_msg_cb_t msg_cb) {
+	int err;
+
+	if (usb_device_setup(msg_cb) == NULL) {
+		return NULL;
+	}
+
+	err = usbd_init(&my_usb_context);
+	if (err) {
+		LOG_ERR("Failed to initialize device support");
+		return NULL;
+	}
+
+	return &my_usb_context;
+}
\ No newline at end of file
diff --git a/servo_controller/src/usb_conf.h b/servo_controller/src/usb_conf.h
new file mode 100644
index 0000000..66ab591
--- /dev/null
+++ b/servo_controller/src/usb_conf.h
@@ -0,0 +1,11 @@
+#ifndef USB_CONF_H
+#define USB_CONF_H
+
+
+#include <zephyr/usb/usbd.h>
+
+struct usbd_context *usb_device_setup(usbd_msg_cb_t msg_cb);
+struct usbd_context *usb_device_init(usbd_msg_cb_t msg_cb);
+
+
+#endif // USB_CONF_H
\ No newline at end of file