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docs(omx): adding some examples and scripts (#3566)
* docs(omx): adding some examples and scripts * cleaning up and reviewing the cli args * adding __init__.py to example folder, adjusting the examples * adding reference to pretrained act policy * moving `.send_action` before `dataset.add_frame` for consistency Co-authored-by: Copilot Autofix powered by AI <175728472+Copilot@users.noreply.github.com> Signed-off-by: Maxime Ellerbach <maxime@ellerbach.net> * adjusting docstring Co-authored-by: Copilot Autofix powered by AI <175728472+Copilot@users.noreply.github.com> Signed-off-by: Maxime Ellerbach <maxime@ellerbach.net> * adressing hardcoded dataset fps * removed init as it worked without --------- Signed-off-by: Maxime Ellerbach <maxime@ellerbach.net>
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#!/usr/bin/env python3
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"""
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Auto-reset and cube-grab utility for the OMX robot arm.
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Provides:
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- grab_cube(robot): sweep workspace, center cube, close gripper
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- place_cube(robot): carry cube to a random position, release
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Standalone usage (run from repo root):
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python -m examples.omx.reset_environment --port /dev/ttyACM1 --mode grab
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python -m examples.omx.reset_environment --port /dev/ttyACM1 --mode grab_and_place
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Joint range: -100 to 100 for arm joints; gripper: 50 = closed, 80 = open.
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To read current joint values for calibration, add after robot.connect():
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obs = robot.get_observation()
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print({k: round(obs[k], 1) for k in JOINT_NAMES})
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robot.disconnect(); raise SystemExit
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Parallel-to-ground IK: wrist_flex = WRIST_HORIZONTAL_OFFSET - shoulder_lift - elbow_flex.
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Linear interpolation preserves this constraint between any two poses that satisfy it.
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"""
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import argparse
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import logging
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import numpy as np
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from lerobot.robots.omx_follower import OmxFollower, OmxFollowerConfig
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from lerobot.robots.robot import Robot
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from lerobot.utils.robot_utils import precise_sleep
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logger = logging.getLogger(__name__)
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# ── Poses ─────────────────────────────────────────────────────────────────────
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HOME_POSE = {
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"shoulder_pan.pos": 0.0,
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"shoulder_lift.pos": -50.0,
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"elbow_flex.pos": 50.0,
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"wrist_flex.pos": 0.0,
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"wrist_roll.pos": 0.0,
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"gripper.pos": 60.0,
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}
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SWEEP_WAYPOINTS = [
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{
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"shoulder_pan.pos": -60.0,
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"shoulder_lift.pos": 50.0,
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"elbow_flex.pos": -60.0,
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"wrist_flex.pos": -20.0,
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"wrist_roll.pos": 0.0,
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"gripper.pos": 60.0,
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},
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{
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"shoulder_pan.pos": -30.0,
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"shoulder_lift.pos": 50.0,
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"elbow_flex.pos": -60.0,
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"wrist_flex.pos": -5.0,
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"wrist_roll.pos": 0.0,
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"gripper.pos": 60.0,
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},
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{
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"shoulder_pan.pos": 20.0,
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"shoulder_lift.pos": 50.0,
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"elbow_flex.pos": -55.0,
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"wrist_flex.pos": -5.0,
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"wrist_roll.pos": 0.0,
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"gripper.pos": 60.0,
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},
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]
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# ── Motion parameters ─────────────────────────────────────────────────────────
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CONTROL_HZ = 30
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APPROACH_SPEED = 50.0
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SWEEP_SPEED = 40.0
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# ── Grab-sequence parameters ──────────────────────────────────────────────────
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GRAB_PAN = 0.0
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SWEEP_LEFT_PAN = -60.0
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SWEEP_RIGHT_PAN = 60.0
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SWEEP_END_OFFSET = 5.0 # stop before center so the cube isn't pushed past GRAB_PAN
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SWEEP_END_PAN_RANGE = (15.0, 20.0)
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SWEEP_LOW_SHOULDER_LIFT = 50.0
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SWEEP_LOW_ELBOW_FLEX_START = -60.0
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SWEEP_LOW_ELBOW_FLEX_END = -55.0
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SWEEP_HIGH_WRIST_FLEX = -20.0 # wrist tilted up during high approach to clear obstacles
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PUSH_START_SHOULDER_LIFT = 0.0
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PUSH_START_ELBOW_FLEX = 45.0
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PUSH_END_SHOULDER_LIFT = 50.0
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PUSH_END_ELBOW_FLEX = -50.0
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# Subtracted from shoulder_lift during the push sweep to clear the platform surface.
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# Does not affect the grab-target interpolation in record_grab.py.
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PUSH_RAISE_OFFSET = 5.0
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WRIST_HORIZONTAL_OFFSET = 0.0 # tune if gripper tilts during push: + tilts nose up, - down
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GRIPPER_CLOSE_POS = 50.0
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PLACE_LEFT_PAN_RANGE = (5.0, 30.0) # random pan range for cube placement on the left side
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PLACE_REACH_RANGE = (0.1, 0.7) # 0 = arm retracted (PUSH_START), 1 = fully extended (PUSH_END)
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JOINT_NAMES = [
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"shoulder_pan.pos",
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"shoulder_lift.pos",
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"elbow_flex.pos",
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"wrist_flex.pos",
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"wrist_roll.pos",
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"gripper.pos",
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]
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# ── Helpers ───────────────────────────────────────────────────────────────────
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def pose_to_array(pose: dict) -> np.ndarray:
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return np.array([pose[k] for k in JOINT_NAMES])
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def array_to_pose(arr: np.ndarray) -> dict:
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return {k: float(arr[i]) for i, k in enumerate(JOINT_NAMES)}
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def horizontal_wrist_flex(shoulder_lift: float, elbow_flex: float) -> float:
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return WRIST_HORIZONTAL_OFFSET - shoulder_lift - elbow_flex
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def _low_sweep_pose(pan: float, elbow_flex: float, wrist_flex: float | None = None) -> dict:
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sl = SWEEP_LOW_SHOULDER_LIFT
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return {
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"shoulder_pan.pos": pan,
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"shoulder_lift.pos": sl,
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"elbow_flex.pos": elbow_flex,
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"wrist_flex.pos": horizontal_wrist_flex(sl, elbow_flex) if wrist_flex is None else wrist_flex,
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"wrist_roll.pos": 0.0,
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"gripper.pos": 60.0,
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}
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def _high_sweep_pose(pan: float) -> dict:
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return {**HOME_POSE, "shoulder_pan.pos": pan, "wrist_flex.pos": SWEEP_HIGH_WRIST_FLEX}
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def _push_pose(shoulder_lift: float, elbow_flex: float, pan: float = GRAB_PAN, gripper: float = 70.0) -> dict:
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return {
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"shoulder_pan.pos": pan,
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"shoulder_lift.pos": shoulder_lift,
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"elbow_flex.pos": elbow_flex,
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"wrist_flex.pos": horizontal_wrist_flex(shoulder_lift, elbow_flex),
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"wrist_roll.pos": 0.0,
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"gripper.pos": gripper,
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}
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def move_to_pose(robot: Robot, target: dict, speed: float) -> None:
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"""Interpolate from current position to target at the given speed (units/s)."""
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obs = robot.get_observation()
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current = np.array([obs[k] for k in JOINT_NAMES])
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goal = pose_to_array(target)
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max_distance = float(np.max(np.abs(goal - current)))
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if max_distance < 0.5:
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return
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n_steps = max(1, int(max_distance / speed * CONTROL_HZ))
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dt = 1.0 / CONTROL_HZ
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for step in range(1, n_steps + 1):
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t = step / n_steps
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robot.send_action(array_to_pose(current + t * (goal - current)))
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precise_sleep(dt)
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# ── Sequences ─────────────────────────────────────────────────────────────────
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def grab_cube(robot: Robot) -> None:
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"""Left sweep → right sweep → extend arm parallel to ground → close gripper."""
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move_to_pose(robot, HOME_POSE, APPROACH_SPEED)
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for pan, end_pan in [
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(SWEEP_LEFT_PAN, GRAB_PAN - SWEEP_END_OFFSET),
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(SWEEP_RIGHT_PAN, GRAB_PAN + SWEEP_END_OFFSET),
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]:
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logger.info(f"Sweeping {'left' if pan < 0 else 'right'} → center...")
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move_to_pose(robot, _high_sweep_pose(pan), APPROACH_SPEED)
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move_to_pose(
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robot, _low_sweep_pose(pan, SWEEP_LOW_ELBOW_FLEX_START, wrist_flex=-20.0), APPROACH_SPEED
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)
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move_to_pose(robot, _low_sweep_pose(end_pan, SWEEP_LOW_ELBOW_FLEX_END, wrist_flex=0.0), SWEEP_SPEED)
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move_to_pose(robot, HOME_POSE, APPROACH_SPEED)
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logger.info("Extending to push cube into gripper...")
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move_to_pose(
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robot,
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_push_pose(PUSH_START_SHOULDER_LIFT - PUSH_RAISE_OFFSET, PUSH_START_ELBOW_FLEX),
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APPROACH_SPEED,
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)
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move_to_pose(
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robot,
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_push_pose(PUSH_END_SHOULDER_LIFT - PUSH_RAISE_OFFSET, PUSH_END_ELBOW_FLEX),
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SWEEP_SPEED,
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)
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logger.info("Closing gripper...")
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move_to_pose(
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robot,
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_push_pose(PUSH_END_SHOULDER_LIFT, PUSH_END_ELBOW_FLEX, gripper=GRIPPER_CLOSE_POS),
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APPROACH_SPEED,
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)
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logger.info("Grab complete.")
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def place_cube(robot: Robot) -> tuple[float, float]:
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"""Carry the cube (gripper closed) to a random position on the left side, then release.
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Returns:
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(pan, t): pan angle and reach scalar [0, 1] of the placement position.
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"""
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pan = float(np.random.uniform(*PLACE_LEFT_PAN_RANGE))
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t = float(np.random.uniform(*PLACE_REACH_RANGE))
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sl = PUSH_START_SHOULDER_LIFT + t * (PUSH_END_SHOULDER_LIFT - PUSH_START_SHOULDER_LIFT)
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ef = PUSH_START_ELBOW_FLEX + t * (PUSH_END_ELBOW_FLEX - PUSH_START_ELBOW_FLEX)
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logger.info(f"Placing cube at pan={pan:.1f}, reach={t:.2f}...")
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move_to_pose(robot, {**HOME_POSE, "gripper.pos": GRIPPER_CLOSE_POS}, APPROACH_SPEED)
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move_to_pose(
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robot, {**HOME_POSE, "shoulder_pan.pos": pan, "gripper.pos": GRIPPER_CLOSE_POS}, APPROACH_SPEED
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)
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move_to_pose(robot, _push_pose(sl, ef, pan=pan, gripper=GRIPPER_CLOSE_POS), APPROACH_SPEED)
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move_to_pose(robot, _push_pose(sl, ef, pan=pan, gripper=80.0), APPROACH_SPEED)
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move_to_pose(robot, HOME_POSE, APPROACH_SPEED)
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logger.info("Place complete.")
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return pan, t
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# ── Entry point ───────────────────────────────────────────────────────────────
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def main():
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parser = argparse.ArgumentParser(description="OMX arm reset / grab script")
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parser.add_argument("--port", default="/dev/ttyACM1")
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parser.add_argument("--robot_id", default="omx_follower")
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parser.add_argument("--mode", choices=["grab", "grab_and_place"], default="grab_and_place")
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args = parser.parse_args()
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logging.basicConfig(level=logging.INFO, format="%(levelname)s: %(message)s")
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robot = OmxFollower(OmxFollowerConfig(port=args.port, id=args.robot_id))
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robot.connect(calibrate=True)
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try:
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if args.mode == "grab":
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grab_cube(robot)
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elif args.mode == "grab_and_place":
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grab_cube(robot)
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place_cube(robot)
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finally:
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robot.disconnect()
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if __name__ == "__main__":
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main()
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