# R1 Vision / Visual Servo Prototype Standalone project for the Unitree R1. The Unitree SDK remains an external dependency. ## Layout - `src/vision_node.cpp` — Unitree camera frames -> atomic `/dev/shm/robot_frame.jpg` - `scripts/yolo_detector.py` — YOLO bottle detection -> `/dev/shm/robot_detection.json` - `src/r1_hand_calibrate.cpp` — Pinocchio wrist + clicked wrist pixels -> camera extrinsics - `src/r1_visual_servo.cpp` — YOLO bottle target + Pinocchio wrist projection -> image-space visual servo - `include/r1_vision/robot_common.hpp` — 500 Hz `rt/lowcmd` controller - `include/r1_vision/kinematics.hpp` — R1 joint state -> Pinocchio configuration / frame Jacobians - `include/r1_vision/vision_io.hpp` — detection JSON reader - `config/` — calibration files ## Dependencies Assumes: - Unitree SDK2 is built at `/home/jvizner/unitree_sdk2` - R1 URDF is at `/home/jvizner/unitree_ros/robots/r1_description/R1.urdf` - OpenCV, Eigen3, Pinocchio, C++17 - Python environment with Ultralytics + OpenCV + NumPy Override the SDK path when configuring: ```bash cmake -S . -B build -DUNITREE_SDK2_DIR=/home/jvizner/unitree_sdk2 ``` Build: ```bash cmake --build build -j$(nproc) ``` ## Camera / YOLO Start the camera: ```bash ./build/vision_node enp3s0 ``` Start YOLO in your `ai_robot` environment: ```bash python scripts/yolo_detector.py ``` The detector defaults to `yolo26m.pt` and class `bottle`. Override with: ```bash R1_YOLO_MODEL=yolo26m.pt R1_TARGET_CLASS=bottle python scripts/yolo_detector.py ``` ## Existing intrinsic calibration Copy your known-good intrinsic calibration into `config/camera_intrinsics.yaml` or pass its path to the hand calibrator: ```bash ./build/r1_hand_calibrate enp3s0 /home/jvizner/r1_camera_calibration/camera_intrinsics.yaml ``` The calibrator uses the left wrist as the 3D reference point. Collect at least 8, preferably 12-15, distinct wrist poses. Click the same physical wrist point every time and press `c`. It writes: ```text /home/jvizner/r1_camera_calibration/camera_extrinsics.yaml ``` ## Visual servo The servo is **dry-run by default**. It calculates `dq` but does not move the robot. Run: ```bash ./build/r1_visual_servo enp3s0 /home/jvizner/r1_camera_calibration/camera_extrinsics.yaml ``` Only enable motion explicitly after validating the predicted wrist pixel: ```bash ENABLE_MOTION=1 ./build/r1_visual_servo enp3s0 /home/jvizner/r1_camera_calibration/camera_extrinsics.yaml ``` The first runtime target is left wrist -> detected bottle center. It controls left shoulder pitch/roll/yaw/elbow only.