218 lines
7.8 KiB
Python
218 lines
7.8 KiB
Python
#!/usr/bin/env python
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# 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 json
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import logging
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import time
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import numpy as np
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from lerobot.common.cameras.utils import make_cameras_from_configs
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from lerobot.common.constants import OBS_IMAGES, OBS_STATE
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from lerobot.common.errors import DeviceAlreadyConnectedError, DeviceNotConnectedError
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from lerobot.common.motors import TorqueMode
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from lerobot.common.motors.dynamixel import (
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DynamixelMotorsBus,
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run_arm_calibration,
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set_operating_mode,
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)
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from ..robot import Robot
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from ..utils import ensure_safe_goal_position
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from .configuration_koch import KochRobotConfig
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class KochRobot(Robot):
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"""
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- [Koch v1.0](https://github.com/AlexanderKoch-Koch/low_cost_robot), with and without the wrist-to-elbow
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expansion, developed by Alexander Koch from [Tau Robotics](https://tau-robotics.com)
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- [Koch v1.1](https://github.com/jess-moss/koch-v1-1) developed by Jess Moss
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"""
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config_class = KochRobotConfig
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name = "koch"
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def __init__(self, config: KochRobotConfig):
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super().__init__(config)
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self.config = config
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self.robot_type = config.type
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self.arm = DynamixelMotorsBus(
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port=self.config.port,
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motors={
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"shoulder_pan": (1, "xl430-w250"),
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"shoulder_lift": (2, "xl430-w250"),
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"elbow_flex": (3, "xl330-m288"),
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"wrist_flex": (4, "xl330-m288"),
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"wrist_roll": (5, "xl330-m288"),
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"gripper": (6, "xl330-m288"),
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},
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)
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self.cameras = make_cameras_from_configs(config.cameras)
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self.is_connected = False
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self.logs = {}
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@property
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def state_feature(self) -> dict:
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return {
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"dtype": "float32",
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"shape": (len(self.arm),),
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"names": {"motors": list(self.arm.motors)},
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}
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@property
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def action_feature(self) -> dict:
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return self.state_feature
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@property
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def camera_features(self) -> dict[str, dict]:
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cam_ft = {}
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for cam_key, cam in self.cameras.items():
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cam_ft[cam_key] = {
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"shape": (cam.height, cam.width, cam.channels),
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"names": ["height", "width", "channels"],
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"info": None,
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}
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return cam_ft
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def connect(self) -> None:
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if self.is_connected:
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raise DeviceAlreadyConnectedError(
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"ManipulatorRobot is already connected. Do not run `robot.connect()` twice."
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)
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logging.info("Connecting arm.")
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self.arm.connect()
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# We assume that at connection time, arm is in a rest position,
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# and torque can be safely disabled to run calibration.
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self.arm.write("Torque_Enable", TorqueMode.DISABLED.value)
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self.calibrate()
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set_operating_mode(self.arm)
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# Set better PID values to close the gap between recorded states and actions
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# TODO(rcadene): Implement an automatic procedure to set optimal PID values for each motor
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self.arm.write("Position_P_Gain", 1500, "elbow_flex")
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self.arm.write("Position_I_Gain", 0, "elbow_flex")
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self.arm.write("Position_D_Gain", 600, "elbow_flex")
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logging.info("Activating torque.")
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self.arm.write("Torque_Enable", TorqueMode.ENABLED.value)
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# Check arm can be read
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self.arm.read("Present_Position")
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# Connect the cameras
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for cam in self.cameras.values():
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cam.connect()
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self.is_connected = True
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def calibrate(self) -> None:
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"""After calibration all motors function in human interpretable ranges.
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Rotations are expressed in degrees in nominal range of [-180, 180],
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and linear motions (like gripper of Aloha) in nominal range of [0, 100].
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"""
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if self.calibration_fpath.exists():
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with open(self.calibration_fpath) as f:
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calibration = json.load(f)
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else:
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# TODO(rcadene): display a warning in __init__ if calibration file not available
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logging.info(f"Missing calibration file '{self.calibration_fpath}'")
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calibration = run_arm_calibration(self.arm, self.robot_type, self.name, "follower")
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logging.info(f"Calibration is done! Saving calibration file '{self.calibration_fpath}'")
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self.calibration_fpath.parent.mkdir(parents=True, exist_ok=True)
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with open(self.calibration_fpath, "w") as f:
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json.dump(calibration, f)
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self.arm.set_calibration(calibration)
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def get_observation(self) -> dict[str, np.ndarray]:
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"""The returned observations do not have a batch dimension."""
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if not self.is_connected:
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raise DeviceNotConnectedError(
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"ManipulatorRobot is not connected. You need to run `robot.connect()`."
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)
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obs_dict = {}
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# Read arm position
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before_read_t = time.perf_counter()
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obs_dict[OBS_STATE] = self.arm.read("Present_Position")
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self.logs["read_pos_dt_s"] = time.perf_counter() - before_read_t
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# Capture images from cameras
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for cam_key, cam in self.cameras.items():
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before_camread_t = time.perf_counter()
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obs_dict[f"{OBS_IMAGES}.{cam_key}"] = cam.async_read()
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self.logs[f"read_camera_{cam_key}_dt_s"] = cam.logs["delta_timestamp_s"]
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self.logs[f"async_read_camera_{cam_key}_dt_s"] = time.perf_counter() - before_camread_t
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return obs_dict
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def send_action(self, action: np.ndarray) -> np.ndarray:
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"""Command arm to move to a target joint configuration.
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The relative action magnitude may be clipped depending on the configuration parameter
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`max_relative_target`. In this case, the action sent differs from original action.
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Thus, this function always returns the action actually sent.
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Args:
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action (np.ndarray): array containing the goal positions for the motors.
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Raises:
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RobotDeviceNotConnectedError: if robot is not connected.
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Returns:
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np.ndarray: the action sent to the motors, potentially clipped.
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"""
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if not self.is_connected:
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raise DeviceNotConnectedError(
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"ManipulatorRobot is not connected. You need to run `robot.connect()`."
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)
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goal_pos = action
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# Cap goal position when too far away from present position.
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# /!\ Slower fps expected due to reading from the follower.
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if self.config.max_relative_target is not None:
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present_pos = self.arm.read("Present_Position")
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goal_pos = ensure_safe_goal_position(goal_pos, present_pos, self.config.max_relative_target)
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# Send goal position to the arm
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self.arm.write("Goal_Position", goal_pos.astype(np.int32))
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return goal_pos
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def print_logs(self):
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# TODO(aliberts): move robot-specific logs logic here
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pass
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def disconnect(self):
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if not self.is_connected:
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raise DeviceNotConnectedError(
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"ManipulatorRobot is not connected. You need to run `robot.connect()` before disconnecting."
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)
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self.arm.disconnect()
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for cam in self.cameras.values():
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cam.disconnect()
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self.is_connected = False
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