181 lines
6.5 KiB
Python
181 lines
6.5 KiB
Python
# Copyright 2024 The HuggingFace Inc. team. All rights reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import abc
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from pathlib import Path
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from typing import Any
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import draccus
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from lerobot.common.constants import HF_LEROBOT_CALIBRATION, TELEOPERATORS
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from lerobot.common.motors.motors_bus import MotorCalibration
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from .config import TeleoperatorConfig
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class Teleoperator(abc.ABC):
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"""
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The base abstract class for all LeRobot-compatible teleoperation devices.
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This class provides a standardized interface for interacting with physical teleoperators.
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Subclasses must implement all abstract methods and properties to be usable.
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Attributes:
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config_class (RobotConfig): The expected configuration class for this teleoperator.
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name (str): The unique name used to identify this teleoperator type.
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"""
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# Set these in ALL subclasses
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config_class: TeleoperatorConfig
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name: str
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def __init__(self, config: TeleoperatorConfig):
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self.id = config.id
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self.calibration_dir = (
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config.calibration_dir
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if config.calibration_dir
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else HF_LEROBOT_CALIBRATION / TELEOPERATORS / self.name
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)
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self.calibration_dir.mkdir(parents=True, exist_ok=True)
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self.calibration_fpath = self.calibration_dir / f"{self.id}.json"
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self.calibration: dict[str, MotorCalibration] = {}
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if self.calibration_fpath.is_file():
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self._load_calibration()
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def __str__(self) -> str:
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return f"{self.id} {self.__class__.__name__}"
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@property
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@abc.abstractmethod
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def action_features(self) -> dict:
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"""
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A dictionary describing the structure and types of the actions produced by the teleoperator. Its
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structure (keys) should match the structure of what is returned by :pymeth:`get_action`. Values for
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the dict should be the type of the value if it's a simple value, e.g. `float` for single
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proprioceptive value (a joint's goal position/velocity)
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Note: this property should be able to be called regardless of whether the robot is connected or not.
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"""
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pass
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@property
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@abc.abstractmethod
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def feedback_features(self) -> dict:
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"""
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A dictionary describing the structure and types of the feedback actions expected by the robot. Its
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structure (keys) should match the structure of what is passed to :pymeth:`send_feedback`. Values for
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the dict should be the type of the value if it's a simple value, e.g. `float` for single
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proprioceptive value (a joint's goal position/velocity)
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Note: this property should be able to be called regardless of whether the robot is connected or not.
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"""
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pass
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@property
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@abc.abstractmethod
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def is_connected(self) -> bool:
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"""
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Whether the teleoperator is currently connected or not. If `False`, calling :pymeth:`get_action`
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or :pymeth:`send_feedback` should raise an error.
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"""
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pass
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@abc.abstractmethod
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def connect(self, calibrate: bool = True) -> None:
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"""
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Establish communication with the teleoperator.
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Args:
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calibrate (bool): If True, automatically calibrate the teleoperator after connecting if it's not
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calibrated or needs calibration (this is hardware-dependant).
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"""
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pass
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@property
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@abc.abstractmethod
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def is_calibrated(self) -> bool:
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"""Whether the teleoperator is currently calibrated or not. Should be always `True` if not applicable"""
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pass
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@abc.abstractmethod
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def calibrate(self) -> None:
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"""
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Calibrate the teleoperator if applicable. If not, this should be a no-op.
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This method should collect any necessary data (e.g., motor offsets) and update the
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:pyattr:`calibration` dictionary accordingly.
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"""
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pass
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def _load_calibration(self, fpath: Path | None = None) -> None:
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"""
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Helper to load calibration data from the specified file.
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Args:
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fpath (Path | None): Optional path to the calibration file. Defaults to `self.calibration_fpath`.
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"""
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fpath = self.calibration_fpath if fpath is None else fpath
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with open(fpath) as f, draccus.config_type("json"):
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self.calibration = draccus.load(dict[str, MotorCalibration], f)
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def _save_calibration(self, fpath: Path | None = None) -> None:
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"""
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Helper to save calibration data to the specified file.
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Args:
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fpath (Path | None): Optional path to save the calibration file. Defaults to `self.calibration_fpath`.
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"""
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fpath = self.calibration_fpath if fpath is None else fpath
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with open(fpath, "w") as f, draccus.config_type("json"):
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draccus.dump(self.calibration, f, indent=4)
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@abc.abstractmethod
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def configure(self) -> None:
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"""
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Apply any one-time or runtime configuration to the teleoperator.
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This may include setting motor parameters, control modes, or initial state.
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"""
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pass
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@abc.abstractmethod
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def get_action(self) -> dict[str, Any]:
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"""
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Retrieve the current action from the teleoperator.
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Returns:
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dict[str, Any]: A flat dictionary representing the teleoperator's current actions. Its
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structure should match :pymeth:`observation_features`.
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"""
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pass
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@abc.abstractmethod
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def send_feedback(self, feedback: dict[str, Any]) -> None:
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"""
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Send a feedback action command to the teleoperator.
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Args:
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action (dict[str, Any]): Dictionary representing the desired action. Its structure should match
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:pymeth:`action_features`.
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Returns:
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dict[str, Any]: The action actually sent to the motors potentially clipped or modified, e.g. by
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safety limits on velocity.
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"""
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pass
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@abc.abstractmethod
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def disconnect(self) -> None:
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"""Disconnect from the teleoperator and perform any necessary cleanup."""
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pass
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