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133 lines
5.5 KiB
Python
133 lines
5.5 KiB
Python
from dataclasses import dataclass, field
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from lerobot.common.cameras.configs import CameraConfig, IntelRealSenseCameraConfig
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from lerobot.common.motors.configs import DynamixelMotorsBusConfig, MotorsBusConfig
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from lerobot.common.robots.config_abc import ManipulatorRobotConfig, RobotConfig
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@RobotConfig.register_subclass("aloha")
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@dataclass
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class AlohaRobotConfig(ManipulatorRobotConfig):
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# Specific to Aloha, LeRobot comes with default calibration files. Assuming the motors have been
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# properly assembled, no manual calibration step is expected. If you need to run manual calibration,
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# simply update this path to ".cache/calibration/aloha"
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calibration_dir: str = ".cache/calibration/aloha_default"
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# /!\ FOR SAFETY, READ THIS /!\
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# `max_relative_target` limits the magnitude of the relative positional target vector for safety purposes.
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# Set this to a positive scalar to have the same value for all motors, or a list that is the same length as
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# the number of motors in your follower arms.
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# For Aloha, for every goal position request, motor rotations are capped at 5 degrees by default.
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# When you feel more confident with teleoperation or running the policy, you can extend
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# this safety limit and even removing it by setting it to `null`.
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# Also, everything is expected to work safely out-of-the-box, but we highly advise to
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# first try to teleoperate the grippers only (by commenting out the rest of the motors in this yaml),
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# then to gradually add more motors (by uncommenting), until you can teleoperate both arms fully
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max_relative_target: int | None = 5
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leader_arms: dict[str, MotorsBusConfig] = field(
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default_factory=lambda: {
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"left": DynamixelMotorsBusConfig(
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# window_x
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port="/dev/ttyDXL_leader_left",
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motors={
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# name: (index, model)
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"waist": [1, "xm430-w350"],
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"shoulder": [2, "xm430-w350"],
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"shoulder_shadow": [3, "xm430-w350"],
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"elbow": [4, "xm430-w350"],
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"elbow_shadow": [5, "xm430-w350"],
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"forearm_roll": [6, "xm430-w350"],
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"wrist_angle": [7, "xm430-w350"],
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"wrist_rotate": [8, "xl430-w250"],
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"gripper": [9, "xc430-w150"],
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},
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),
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"right": DynamixelMotorsBusConfig(
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# window_x
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port="/dev/ttyDXL_leader_right",
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motors={
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# name: (index, model)
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"waist": [1, "xm430-w350"],
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"shoulder": [2, "xm430-w350"],
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"shoulder_shadow": [3, "xm430-w350"],
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"elbow": [4, "xm430-w350"],
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"elbow_shadow": [5, "xm430-w350"],
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"forearm_roll": [6, "xm430-w350"],
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"wrist_angle": [7, "xm430-w350"],
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"wrist_rotate": [8, "xl430-w250"],
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"gripper": [9, "xc430-w150"],
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},
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),
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}
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)
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follower_arms: dict[str, MotorsBusConfig] = field(
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default_factory=lambda: {
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"left": DynamixelMotorsBusConfig(
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port="/dev/ttyDXL_follower_left",
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motors={
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# name: (index, model)
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"waist": [1, "xm540-w270"],
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"shoulder": [2, "xm540-w270"],
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"shoulder_shadow": [3, "xm540-w270"],
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"elbow": [4, "xm540-w270"],
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"elbow_shadow": [5, "xm540-w270"],
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"forearm_roll": [6, "xm540-w270"],
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"wrist_angle": [7, "xm540-w270"],
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"wrist_rotate": [8, "xm430-w350"],
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"gripper": [9, "xm430-w350"],
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},
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),
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"right": DynamixelMotorsBusConfig(
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port="/dev/ttyDXL_follower_right",
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motors={
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# name: (index, model)
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"waist": [1, "xm540-w270"],
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"shoulder": [2, "xm540-w270"],
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"shoulder_shadow": [3, "xm540-w270"],
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"elbow": [4, "xm540-w270"],
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"elbow_shadow": [5, "xm540-w270"],
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"forearm_roll": [6, "xm540-w270"],
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"wrist_angle": [7, "xm540-w270"],
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"wrist_rotate": [8, "xm430-w350"],
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"gripper": [9, "xm430-w350"],
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},
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),
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}
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)
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# Troubleshooting: If one of your IntelRealSense cameras freeze during
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# data recording due to bandwidth limit, you might need to plug the camera
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# on another USB hub or PCIe card.
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cameras: dict[str, CameraConfig] = field(
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default_factory=lambda: {
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"cam_high": IntelRealSenseCameraConfig(
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serial_number=128422271347,
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fps=30,
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width=640,
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height=480,
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),
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"cam_low": IntelRealSenseCameraConfig(
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serial_number=130322270656,
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fps=30,
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width=640,
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height=480,
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),
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"cam_left_wrist": IntelRealSenseCameraConfig(
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serial_number=218622272670,
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fps=30,
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width=640,
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height=480,
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),
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"cam_right_wrist": IntelRealSenseCameraConfig(
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serial_number=130322272300,
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fps=30,
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width=640,
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height=480,
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),
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}
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)
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mock: bool = False
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