lerobot/common/robots/robot.py [86:154]:
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        pass

    @property
    @abc.abstractmethod
    def is_connected(self) -> bool:
        """
        Whether the robot is currently connected or not. If `False`, calling :pymeth:`get_observation` or
        :pymeth:`send_action` should raise an error.
        """
        pass

    @abc.abstractmethod
    def connect(self, calibrate: bool = True) -> None:
        """
        Establish communication with the robot.

        Args:
            calibrate (bool): If True, automatically calibrate the robot after connecting if it's not
                calibrated or needs calibration (this is hardware-dependant).
        """
        pass

    @property
    @abc.abstractmethod
    def is_calibrated(self) -> bool:
        """Whether the robot is currently calibrated or not. Should be always `True` if not applicable"""
        pass

    @abc.abstractmethod
    def calibrate(self) -> None:
        """
        Calibrate the robot if applicable. If not, this should be a no-op.

        This method should collect any necessary data (e.g., motor offsets) and update the
        :pyattr:`calibration` dictionary accordingly.
        """
        pass

    def _load_calibration(self, fpath: Path | None = None) -> None:
        """
        Helper to load calibration data from the specified file.

        Args:
            fpath (Path | None): Optional path to the calibration file. Defaults to `self.calibration_fpath`.
        """
        fpath = self.calibration_fpath if fpath is None else fpath
        with open(fpath) as f, draccus.config_type("json"):
            self.calibration = draccus.load(dict[str, MotorCalibration], f)

    def _save_calibration(self, fpath: Path | None = None) -> None:
        """
        Helper to save calibration data to the specified file.

        Args:
            fpath (Path | None): Optional path to save the calibration file. Defaults to `self.calibration_fpath`.
        """
        fpath = self.calibration_fpath if fpath is None else fpath
        with open(fpath, "w") as f, draccus.config_type("json"):
            draccus.dump(self.calibration, f, indent=4)

    @abc.abstractmethod
    def configure(self) -> None:
        """
        Apply any one-time or runtime configuration to the robot.
        This may include setting motor parameters, control modes, or initial state.
        """
        pass

    @abc.abstractmethod
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lerobot/common/teleoperators/teleoperator.py [83:151]:
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        pass

    @property
    @abc.abstractmethod
    def is_connected(self) -> bool:
        """
        Whether the teleoperator is currently connected or not. If `False`, calling :pymeth:`get_action`
        or :pymeth:`send_feedback` should raise an error.
        """
        pass

    @abc.abstractmethod
    def connect(self, calibrate: bool = True) -> None:
        """
        Establish communication with the teleoperator.

        Args:
            calibrate (bool): If True, automatically calibrate the teleoperator after connecting if it's not
                calibrated or needs calibration (this is hardware-dependant).
        """
        pass

    @property
    @abc.abstractmethod
    def is_calibrated(self) -> bool:
        """Whether the teleoperator is currently calibrated or not. Should be always `True` if not applicable"""
        pass

    @abc.abstractmethod
    def calibrate(self) -> None:
        """
        Calibrate the teleoperator if applicable. If not, this should be a no-op.

        This method should collect any necessary data (e.g., motor offsets) and update the
        :pyattr:`calibration` dictionary accordingly.
        """
        pass

    def _load_calibration(self, fpath: Path | None = None) -> None:
        """
        Helper to load calibration data from the specified file.

        Args:
            fpath (Path | None): Optional path to the calibration file. Defaults to `self.calibration_fpath`.
        """
        fpath = self.calibration_fpath if fpath is None else fpath
        with open(fpath) as f, draccus.config_type("json"):
            self.calibration = draccus.load(dict[str, MotorCalibration], f)

    def _save_calibration(self, fpath: Path | None = None) -> None:
        """
        Helper to save calibration data to the specified file.

        Args:
            fpath (Path | None): Optional path to save the calibration file. Defaults to `self.calibration_fpath`.
        """
        fpath = self.calibration_fpath if fpath is None else fpath
        with open(fpath, "w") as f, draccus.config_type("json"):
            draccus.dump(self.calibration, f, indent=4)

    @abc.abstractmethod
    def configure(self) -> None:
        """
        Apply any one-time or runtime configuration to the teleoperator.
        This may include setting motor parameters, control modes, or initial state.
        """
        pass

    @abc.abstractmethod
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