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Start adding Reachy 2 (no camera)
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#!/usr/bin/env python
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# Copyright 2025 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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from .configuration_reachy2 import Reachy2RobotConfig
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from .robot_reachy2 import Reachy2Robot
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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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from dataclasses import dataclass, field
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from lerobot.cameras import CameraConfig
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from lerobot.cameras.opencv import OpenCVCameraConfig
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from lerobot.cameras.configs import ColorMode, Cv2Rotation
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from ..config import RobotConfig
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@RobotConfig.register_subclass("reachy2")
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@dataclass
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class Reachy2RobotConfig(RobotConfig):
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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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max_relative_target: int | None = None
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ip_address: str | None = "localhost"
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# cameras
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cameras: dict[str, CameraConfig] = field(
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default_factory=lambda: {
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# "head": RealSenseCameraConfig(
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# name="Intel RealSense D435I",
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# fps=30,
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# width=640,
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# height=480,
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# rotation=90,
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# ),
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# "wrist": RealSenseCameraConfig(
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# name="Intel RealSense D405",
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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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#!/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 time
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import numpy as np
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from reachy2_sdk import ReachySDK
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from typing import Any
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# from stretch_body.gamepad_teleop import GamePadTeleop
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# from stretch_body.robot import Robot as StretchAPI
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# from stretch_body.robot_params import RobotParams
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from lerobot.cameras.utils import make_cameras_from_configs
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from lerobot.constants import OBS_IMAGES, OBS_STATE
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from ..robot import Robot
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from .configuration_reachy2 import Reachy2RobotConfig
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# {lerobot_keys: reachy2_sdk_keys}
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REACHY2_MOTORS = {
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"neck_yaw.pos": "head.neck.yaw",
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"neck_pitch.pos": "head.neck.pitch",
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"neck_roll.pos": "head.neck.roll",
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"r_shoulder_pitch.pos": "r_arm.shoulder.pitch",
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"r_shoulder_roll.pos": "r_arm.shoulder.roll",
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"r_elbow_yaw.pos": "r_arm.elbow.yaw",
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"r_elbow_pitch.pos": "r_arm.elbow.pitch",
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"r_wrist_roll.pos": "r_arm.wrist.roll",
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"r_wrist_pitch.pos": "r_arm.wrist.pitch",
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"r_wrist_yaw.pos": "r_arm.wrist.yaw",
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"r_gripper.pos": "r_arm.gripper",
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"l_shoulder_pitch.pos": "l_arm.shoulder.pitch",
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"l_shoulder_roll.pos": "l_arm.shoulder.roll",
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"l_elbow_yaw.pos": "l_arm.elbow.yaw",
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"l_elbow_pitch.pos": "l_arm.elbow.pitch",
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"l_wrist_roll.pos": "l_arm.wrist.roll",
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"l_wrist_pitch.pos": "l_arm.wrist.pitch",
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"l_wrist_yaw.pos": "l_arm.wrist.yaw",
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"l_gripper.pos": "l_arm.gripper",
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"l_antenna.pos": "head.l_antenna",
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"r_antenna.pos": "head.r_antenna",
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# "mobile_base.vx": "mobile_base.vx",
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# "mobile_base.vy": "mobile_base.vy",
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# "mobile_base.vtheta": "mobile_base.vtheta",
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}
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class Reachy2Robot(Robot):
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"""[Reachy 2](https://www.pollen-robotics.com/reachy/), by Pollen Robotics."""
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config_class = Reachy2RobotConfig
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name = "reachy2"
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def __init__(self, config: Reachy2RobotConfig):
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super().__init__(config)
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self.config = config
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self.robot_type = self.config.type
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self.reachy: None | ReachySDK = None
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self.cameras = make_cameras_from_configs(config.cameras)
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self.logs = {}
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@property
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def observation_features(self) -> dict:
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return {
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"dtype": "float32",
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"shape": (len(REACHY2_MOTORS),),
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"names": {"motors": list(REACHY2_MOTORS)},
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}
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@property
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def action_features(self) -> dict:
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return self.observation_features
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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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@property
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def is_connected(self) -> bool:
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return self.reachy.is_connected() if self.reachy is not None else False
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def connect(self) -> None:
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self.reachy = ReachySDK(self.config.ip_address)
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if not self.is_connected:
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print("Error connecting to Reachy 2.")
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raise ConnectionError()
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# for cam in self.cameras.values():
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# cam.connect()
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# self.is_connected = self.is_connected and cam.is_connected
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if not self.is_connected:
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print("Could not connect to the cameras, check that all cameras are plugged-in.")
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raise ConnectionError()
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self.configure()
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def configure(self) -> None:
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self.reachy.turn_on()
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self.reachy.reset_default_limits()
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@property
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def is_calibrated(self) -> bool:
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return True
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def calibrate(self) -> None:
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pass
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def _get_state(self) -> dict:
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return {k: self.reachy.joints[v].present_position for k, v in REACHY2_MOTORS.items()}
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def get_observation(self) -> dict[str, np.ndarray]:
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obs_dict = {}
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# Read Reachy 2 state
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before_read_t = time.perf_counter()
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state = self._get_state()
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print(state)
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self.logs["read_pos_dt_s"] = time.perf_counter() - before_read_t
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state = np.asarray(list(state.values()))
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obs_dict[OBS_STATE] = state
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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: dict[str, Any]) -> dict[str, Any]:
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if not self.is_connected:
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raise ConnectionError()
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before_write_t = time.perf_counter()
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for key, val in action.items():
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if key not in REACHY2_MOTORS:
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raise KeyError(f"Key '{key}' is not a valid motor key in Reachy 2.")
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else:
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self.reachy.joints[REACHY2_MOTORS[key]].goal_position = val
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self.reachy.send_goal_positions()
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self.logs["write_pos_dt_s"] = time.perf_counter() - before_write_t
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return action
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def disconnect(self) -> None:
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self.reachy.turn_off_smoothly()
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self.reachy.disconnect()
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# for cam in self.cameras.values():
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# cam.disconnect()
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