-
Notifications
You must be signed in to change notification settings - Fork 0
Sync and Layout
Bryan Ribas edited this page Jul 31, 2026
·
1 revision
Workstation / Mac (have rsync):
rsync -az --exclude=__pycache__ --exclude='._*' ur5e_lerobot/ scripts/ assets/ gpu:~/VLA/If a machine has no rsync, use tar-over-ssh:
tar czf - --exclude=__pycache__ --exclude='._*' ur5e_lerobot scripts | ssh rd@192.168.11.80 'tar xzf - -C ~/VLA'Saved episodes also auto-upload from the robot PC to the GPU (see Hardware Teleop & Recording).
-
scripts/— setup, eval, merge, sim-grasp diagnostics;hw_preflight.py(staged hardware bring-up);eval_hw.py(deploy ACT|SmolVLA, local or--remote);infer_server.py(GPU-side remote-inference server for SmolVLA). -
ur5e_lerobot/— integration package.-
remote.py— remote-inference bridge (framed-pickle TCP):RemotePolicyClient+serve(), so SmolVLA runs on the GPU box and streams actions to the robot PC. -
schema.py— action/obs contract: v1 10-D / 16-D state (live) + v2 14-D / 20-D (8-DOF hand, opt-in). -
hand/amazing_hand_client.py— TCP client for the AmazingHand ESP32 (.117:8765): curls + flex/abduct +read_state. -
robot/— LeRobot adapterURAmazingHand;rtde_arm.py(RTDE teleop: servoL + no-go/max_step/max_rot_step/z-floor/IK guard + freedrive + reconnect);workspace.py(no-go zone incl. elbow/wrist-link FK check, body at +y);arm_interface.pyRos2ArmInterface(stub). -
sensors/cameras.py— three USB cameras by stable USB-portby-path(same wide-FOV model), per-camera rotation + gain; MJPG 720p capture → 960×540 dataset size. -
sim/— MuJoCo UR5e + AmazingHand, mink IK, grasp-aid weld, record/playback (--engine mujoco|kinematic). -
teleop/manual_panel.py— Tkinter panel: input dropdown (spacemouse/gamepad/freedrive/sliders), Reconnect-UR, calibrator loaders,--engine hardware, auto-upload + star rating + auto-home-on-save, clean finalize. -
teleop/spacemouse.py·gamepad.py(evdev) ·sm_calibrate.py·gp_calibrate.py— input readers + one-shot axis calibrators.
-
-
webui/— dataset-management web UI (FastAPI + static vanilla-JS):datasets.py(fast metadata listing),ops.py(delete/trim/merge/move/to-video wrappingdataset_tools),annotations.py(rating/notes/operator sidecar),models.py/evals.py(training runs + eval records),viewer.py(rerun web-viewer subprocess),server.py(REST + static). -
docs/— decisions, data schema, camera setup,amazinghand_esp32_buttons.md(8-DOF firmware/protocol spec),smolvla.md(fine-tune recipe). -
assets/amazing_hand/— vendored MuJoCo hand model. UR5e model fromrobot_descriptions. -
ros2_ws/— UR5e ROS 2 bringup (deployment path; build on the Linux box).