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9 Commits
| Author | SHA1 | Date | |
|---|---|---|---|
| dbb32ead5f | |||
| d602e8169c | |||
| 49baccdccb | |||
| 6a3d57031a | |||
| d74494d92b | |||
| 882c80d446 | |||
| 61b0eeae4b | |||
| 577cd10974 | |||
| b0923ab74b |
@@ -37,14 +37,14 @@ from tqdm import tqdm
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from lerobot.datasets.lerobot_dataset import LeRobotDataset
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from lerobot.datasets.video_utils import (
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decode_video_frames_torchvision,
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decode_video_frames,
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encode_video_frames,
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)
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from lerobot.utils.benchmark import TimeBenchmark
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BASE_ENCODING = OrderedDict(
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[
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("vcodec", "libx264"),
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("vcodec", "h264"),
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("pix_fmt", "yuv444p"),
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("g", 2),
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("crf", None),
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@@ -147,18 +147,6 @@ def sample_timestamps(timestamps_mode: str, ep_num_images: int, fps: int) -> lis
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return [idx / fps for idx in frame_indexes]
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def decode_video_frames(
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video_path: str,
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timestamps: list[float],
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tolerance_s: float,
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backend: str,
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) -> torch.Tensor:
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if backend in ["pyav", "video_reader"]:
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return decode_video_frames_torchvision(video_path, timestamps, tolerance_s, backend)
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else:
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raise NotImplementedError(backend)
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def benchmark_decoding(
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imgs_dir: Path,
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video_path: Path,
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@@ -406,9 +394,9 @@ if __name__ == "__main__":
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nargs="*",
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default=[
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"lerobot/pusht_image",
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"aliberts/aloha_mobile_shrimp_image",
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"aliberts/paris_street",
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"aliberts/kitchen",
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"CarolinePascal/aloha_mobile_shrimp_image",
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"CarolinePascal/paris_street",
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"CarolinePascal/kitchen",
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],
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help="Datasets repo-ids to test against. First episodes only are used. Must be images.",
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)
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@@ -416,7 +404,7 @@ if __name__ == "__main__":
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"--vcodec",
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type=str,
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nargs="*",
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default=["libx264", "hevc", "libsvtav1"],
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default=["h264", "hevc", "libsvtav1"],
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help="Video codecs to be tested",
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)
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parser.add_argument(
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@@ -446,7 +434,7 @@ if __name__ == "__main__":
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# nargs="*",
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# default=[0, 1],
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# help="Use the fastdecode tuning option. 0 disables it. "
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# "For libx264 and libx265/hevc, only 1 is possible. "
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# "For h264 and h265/hevc, only 1 is possible. "
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# "For libsvtav1, 1, 2 or 3 are possible values with a higher number meaning a faster decoding optimization",
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# )
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parser.add_argument(
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@@ -465,8 +453,8 @@ if __name__ == "__main__":
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"--backends",
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type=str,
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nargs="*",
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default=["pyav", "video_reader"],
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help="Torchvision decoding backend to be tested.",
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default=["torchcodec", "pyav", "video_reader"],
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help="Video decoding backend to be tested.",
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)
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parser.add_argument(
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"--num-samples",
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@@ -41,6 +41,8 @@
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- sections:
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- local: notebooks
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title: Notebooks
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- local: feetech
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title: Updating Feetech Firmware
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title: "Resources"
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- sections:
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- local: contributing
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@@ -0,0 +1,71 @@
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# Feetech Motor Firmware Update
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This tutorial guides you through updating the firmware of Feetech motors using the official Feetech software.
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## Prerequisites
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- Windows computer (Feetech software is only available for Windows)
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- Feetech motor control board
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- USB cable to connect the control board to your computer
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- Feetech motors connected to the control board
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## Step 1: Download Feetech Software
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1. Visit the official Feetech software download page: [https://www.feetechrc.com/software.html](https://www.feetechrc.com/software.html)
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2. Download the latest version of the Feetech debugging software (FD)
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3. Install the software on your Windows computer
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## Step 2: Hardware Setup
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1. Connect your Feetech motors to the motor control board
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2. Connect the motor control board to your Windows computer via USB cable
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3. Ensure power is supplied to the motors
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## Step 3: Configure Connection
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1. Launch the Feetech debugging software
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2. Select the correct COM port from the port dropdown menu
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- If unsure which port to use, check Windows Device Manager under "Ports (COM & LPT)"
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3. Set the appropriate baud rate (typically 1000000 for most Feetech motors)
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4. Click "Open" to establish communication with the control board
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## Step 4: Scan for Motors
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1. Once connected, click the "Search" button to detect all connected motors
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2. The software will automatically discover and list all motors on the bus
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3. Each motor will appear with its ID number
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## Step 5: Update Firmware
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For each motor you want to update:
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1. **Select the motor** from the list by clicking on it
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2. **Click on Upgrade tab**:
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3. **Click on Online button**:
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- If an potential firmware update is found, it will be displayed in the box
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4. **Click on Upgrade button**:
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- The update progress will be displayed
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## Step 6: Verify Update
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1. After the update completes, the software should automatically refresh the motor information
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2. Verify that the firmware version has been updated to the expected version
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## Important Notes
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⚠️ **Warning**: Do not disconnect power or USB during firmware updates, it will potentially brick the motor.
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## Bonus: Motor Debugging on Linux/macOS
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For debugging purposes only, you can use the open-source Feetech Debug Tool:
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- **Repository**: [FT_SCServo_Debug_Qt](https://github.com/CarolinePascal/FT_SCServo_Debug_Qt/tree/fix/port-search-timer)
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### Installation Instructions
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Follow the instructions in the repository to install the tool, for Ubuntu you can directly install it, for MacOS you need to build it from source.
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**Limitations:**
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- This tool is for debugging and parameter adjustment only
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- Firmware updates must still be done on Windows with official Feetech software
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@@ -440,8 +440,9 @@ class LeRobotDataset(torch.utils.data.Dataset):
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download_videos (bool, optional): Flag to download the videos. Note that when set to True but the
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video files are already present on local disk, they won't be downloaded again. Defaults to
|
||||
True.
|
||||
video_backend (str | None, optional): Video backend to use for decoding videos. Defaults to torchcodec when available int the platform; otherwise, defaults to 'pyav'.
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You can also use the 'pyav' decoder used by Torchvision, which used to be the default option, or 'video_reader' which is another decoder of Torchvision.
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||||
video_backend (str | None, optional): Video backend to use for decoding videos. Defaults to 'torchcodec'
|
||||
when available on the platform; otherwise, defaults to torchvision's default backend : 'pyav'.
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You can also use 'video_reader' which is another decoder of torchvision.
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batch_encoding_size (int, optional): Number of episodes to accumulate before batch encoding videos.
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Set to 1 for immediate encoding (default), or higher for batched encoding. Defaults to 1.
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||||
"""
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@@ -825,6 +826,8 @@ class LeRobotDataset(torch.utils.data.Dataset):
|
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"""
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if not episode_data:
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episode_buffer = self.episode_buffer
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else:
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episode_buffer = episode_data
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||||
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||||
validate_episode_buffer(episode_buffer, self.meta.total_episodes, self.features)
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||||
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||||
@@ -209,7 +209,14 @@ def record_loop(
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(
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t
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for t in teleop
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if isinstance(t, (so100_leader.SO100Leader, so101_leader.SO101Leader, koch_leader.KochLeader))
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if isinstance(
|
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t,
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(
|
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so100_leader.SO100Leader,
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so101_leader.SO101Leader,
|
||||
koch_leader.KochLeader,
|
||||
),
|
||||
)
|
||||
),
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||||
None,
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||||
)
|
||||
|
||||
@@ -29,10 +29,10 @@ class BiSO100FollowerConfig(RobotConfig):
|
||||
|
||||
# Optional
|
||||
left_arm_disable_torque_on_disconnect: bool = True
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left_arm_max_relative_target: int | None = None
|
||||
left_arm_max_relative_target: float | dict[str, float] | None = None
|
||||
left_arm_use_degrees: bool = False
|
||||
right_arm_disable_torque_on_disconnect: bool = True
|
||||
right_arm_max_relative_target: int | None = None
|
||||
right_arm_max_relative_target: float | dict[str, float] | None = None
|
||||
right_arm_use_degrees: bool = False
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||||
|
||||
# cameras (shared between both arms)
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|
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@@ -44,8 +44,8 @@ class HopeJrArmConfig(RobotConfig):
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disable_torque_on_disconnect: bool = True
|
||||
|
||||
# `max_relative_target` limits the magnitude of the relative positional target vector for safety purposes.
|
||||
# Set this to a positive scalar to have the same value for all motors, or a list that is the same length as
|
||||
# the number of motors in your follower arms.
|
||||
max_relative_target: int | None = None
|
||||
# Set this to a positive scalar to have the same value for all motors, or a dictionary that maps motor
|
||||
# names to the max_relative_target value for that motor.
|
||||
max_relative_target: float | dict[str, float] | None = None
|
||||
|
||||
cameras: dict[str, CameraConfig] = field(default_factory=dict)
|
||||
|
||||
@@ -28,9 +28,9 @@ class KochFollowerConfig(RobotConfig):
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||||
disable_torque_on_disconnect: bool = True
|
||||
|
||||
# `max_relative_target` limits the magnitude of the relative positional target vector for safety purposes.
|
||||
# Set this to a positive scalar to have the same value for all motors, or a list that is the same length as
|
||||
# the number of motors in your follower arms.
|
||||
max_relative_target: int | None = None
|
||||
# Set this to a positive scalar to have the same value for all motors, or a dictionary that maps motor
|
||||
# names to the max_relative_target value for that motor.
|
||||
max_relative_target: float | dict[str, float] | None = None
|
||||
|
||||
# cameras
|
||||
cameras: dict[str, CameraConfig] = field(default_factory=dict)
|
||||
|
||||
@@ -110,6 +110,7 @@ class KochFollower(Robot):
|
||||
return self.bus.is_calibrated
|
||||
|
||||
def calibrate(self) -> None:
|
||||
self.bus.disable_torque()
|
||||
if self.calibration:
|
||||
# Calibration file exists, ask user whether to use it or run new calibration
|
||||
user_input = input(
|
||||
@@ -120,7 +121,6 @@ class KochFollower(Robot):
|
||||
self.bus.write_calibration(self.calibration)
|
||||
return
|
||||
logger.info(f"\nRunning calibration of {self}")
|
||||
self.bus.disable_torque()
|
||||
for motor in self.bus.motors:
|
||||
self.bus.write("Operating_Mode", motor, OperatingMode.EXTENDED_POSITION.value)
|
||||
|
||||
|
||||
@@ -39,9 +39,9 @@ class LeKiwiConfig(RobotConfig):
|
||||
disable_torque_on_disconnect: bool = True
|
||||
|
||||
# `max_relative_target` limits the magnitude of the relative positional target vector for safety purposes.
|
||||
# Set this to a positive scalar to have the same value for all motors, or a list that is the same length as
|
||||
# the number of motors in your follower arms.
|
||||
max_relative_target: int | None = None
|
||||
# Set this to a positive scalar to have the same value for all motors, or a dictionary that maps motor
|
||||
# names to the max_relative_target value for that motor.
|
||||
max_relative_target: float | dict[str, float] | None = None
|
||||
|
||||
cameras: dict[str, CameraConfig] = field(default_factory=lekiwi_cameras_config)
|
||||
|
||||
|
||||
@@ -30,9 +30,9 @@ class SO100FollowerConfig(RobotConfig):
|
||||
disable_torque_on_disconnect: bool = True
|
||||
|
||||
# `max_relative_target` limits the magnitude of the relative positional target vector for safety purposes.
|
||||
# Set this to a positive scalar to have the same value for all motors, or a list that is the same length as
|
||||
# the number of motors in your follower arms.
|
||||
max_relative_target: int | None = None
|
||||
# Set this to a positive scalar to have the same value for all motors, or a dictionary that maps motor
|
||||
# names to the max_relative_target value for that motor.
|
||||
max_relative_target: float | dict[str, float] | None = None
|
||||
|
||||
# cameras
|
||||
cameras: dict[str, CameraConfig] = field(default_factory=dict)
|
||||
|
||||
@@ -161,6 +161,11 @@ class SO100Follower(Robot):
|
||||
self.bus.write("I_Coefficient", motor, 0)
|
||||
self.bus.write("D_Coefficient", motor, 32)
|
||||
|
||||
if motor == "gripper":
|
||||
self.bus.write("Max_Torque_Limit", motor, 500) # 50% of max torque to avoid burnout
|
||||
self.bus.write("Protection_Current", motor, 250) # 50% of max current to avoid burnout
|
||||
self.bus.write("Overload_Torque", motor, 25) # 25% torque when overloaded
|
||||
|
||||
def setup_motors(self) -> None:
|
||||
for motor in reversed(self.bus.motors):
|
||||
input(f"Connect the controller board to the '{motor}' motor only and press enter.")
|
||||
|
||||
@@ -30,9 +30,9 @@ class SO101FollowerConfig(RobotConfig):
|
||||
disable_torque_on_disconnect: bool = True
|
||||
|
||||
# `max_relative_target` limits the magnitude of the relative positional target vector for safety purposes.
|
||||
# Set this to a positive scalar to have the same value for all motors, or a list that is the same length as
|
||||
# the number of motors in your follower arms.
|
||||
max_relative_target: int | None = None
|
||||
# Set this to a positive scalar to have the same value for all motors, or a dictionary that maps motor
|
||||
# names to the max_relative_target value for that motor.
|
||||
max_relative_target: float | dict[str, float] | None = None
|
||||
|
||||
# cameras
|
||||
cameras: dict[str, CameraConfig] = field(default_factory=dict)
|
||||
|
||||
@@ -157,6 +157,13 @@ class SO101Follower(Robot):
|
||||
self.bus.write("I_Coefficient", motor, 0)
|
||||
self.bus.write("D_Coefficient", motor, 32)
|
||||
|
||||
if motor == "gripper":
|
||||
self.bus.write(
|
||||
"Max_Torque_Limit", motor, 500
|
||||
) # 50% of the max torque limit to avoid burnout
|
||||
self.bus.write("Protection_Current", motor, 250) # 50% of max current to avoid burnout
|
||||
self.bus.write("Overload_Torque", motor, 25) # 25% torque when overloaded
|
||||
|
||||
def setup_motors(self) -> None:
|
||||
for motor in reversed(self.bus.motors):
|
||||
input(f"Connect the controller board to the '{motor}' motor only and press enter.")
|
||||
|
||||
@@ -24,11 +24,6 @@ from ..config import RobotConfig
|
||||
@RobotConfig.register_subclass("stretch3")
|
||||
@dataclass
|
||||
class Stretch3RobotConfig(RobotConfig):
|
||||
# `max_relative_target` limits the magnitude of the relative positional target vector for safety purposes.
|
||||
# Set this to a positive scalar to have the same value for all motors, or a list that is the same length as
|
||||
# the number of motors in your follower arms.
|
||||
max_relative_target: int | None = None
|
||||
|
||||
# cameras
|
||||
cameras: dict[str, CameraConfig] = field(
|
||||
default_factory=lambda: {
|
||||
|
||||
@@ -74,7 +74,7 @@ def make_robot_from_config(config: RobotConfig) -> Robot:
|
||||
|
||||
|
||||
def ensure_safe_goal_position(
|
||||
goal_present_pos: dict[str, tuple[float, float]], max_relative_target: float | dict[float]
|
||||
goal_present_pos: dict[str, tuple[float, float]], max_relative_target: float | dict[str, float]
|
||||
) -> dict[str, float]:
|
||||
"""Caps relative action target magnitude for safety."""
|
||||
|
||||
|
||||
@@ -28,15 +28,15 @@ class ViperXConfig(RobotConfig):
|
||||
|
||||
# /!\ FOR SAFETY, READ THIS /!\
|
||||
# `max_relative_target` limits the magnitude of the relative positional target vector for safety purposes.
|
||||
# Set this to a positive scalar to have the same value for all motors, or a list that is the same length as
|
||||
# the number of motors in your follower arms.
|
||||
# Set this to a positive scalar to have the same value for all motors, or a dictionary that maps motor
|
||||
# names to the max_relative_target value for that motor.
|
||||
# For Aloha, for every goal position request, motor rotations are capped at 5 degrees by default.
|
||||
# When you feel more confident with teleoperation or running the policy, you can extend
|
||||
# this safety limit and even removing it by setting it to `null`.
|
||||
# Also, everything is expected to work safely out-of-the-box, but we highly advise to
|
||||
# first try to teleoperate the grippers only (by commenting out the rest of the motors in this yaml),
|
||||
# then to gradually add more motors (by uncommenting), until you can teleoperate both arms fully
|
||||
max_relative_target: int | None = 5
|
||||
max_relative_target: float | dict[str, float] = 5.0
|
||||
|
||||
# cameras
|
||||
cameras: dict[str, CameraConfig] = field(default_factory=dict)
|
||||
|
||||
@@ -302,11 +302,6 @@ class RobotClient:
|
||||
|
||||
self.logger.debug(f"Current latest action: {latest_action}")
|
||||
|
||||
# Get queue state before changes
|
||||
old_size, old_timesteps = self._inspect_action_queue()
|
||||
if not old_timesteps:
|
||||
old_timesteps = [latest_action] # queue was empty
|
||||
|
||||
# Get queue state before changes
|
||||
old_size, old_timesteps = self._inspect_action_queue()
|
||||
if not old_timesteps:
|
||||
|
||||
@@ -88,6 +88,7 @@ class KochLeader(Teleoperator):
|
||||
return self.bus.is_calibrated
|
||||
|
||||
def calibrate(self) -> None:
|
||||
self.bus.disable_torque()
|
||||
if self.calibration:
|
||||
# Calibration file exists, ask user whether to use it or run new calibration
|
||||
user_input = input(
|
||||
@@ -98,7 +99,6 @@ class KochLeader(Teleoperator):
|
||||
self.bus.write_calibration(self.calibration)
|
||||
return
|
||||
logger.info(f"\nRunning calibration of {self}")
|
||||
self.bus.disable_torque()
|
||||
for motor in self.bus.motors:
|
||||
self.bus.write("Operating_Mode", motor, OperatingMode.EXTENDED_POSITION.value)
|
||||
|
||||
|
||||
@@ -23,8 +23,6 @@ import pytest
|
||||
from lerobot.cameras.reachy2_camera import Reachy2Camera, Reachy2CameraConfig
|
||||
from lerobot.errors import DeviceNotConnectedError
|
||||
|
||||
pytest.importorskip("reachy2_sdk")
|
||||
|
||||
PARAMS = [
|
||||
("teleop", "left"),
|
||||
("teleop", "right"),
|
||||
|
||||
@@ -28,6 +28,7 @@ pytest_plugins = [
|
||||
"tests.fixtures.files",
|
||||
"tests.fixtures.hub",
|
||||
"tests.fixtures.optimizers",
|
||||
"tests.plugins.reachy2_sdk",
|
||||
]
|
||||
|
||||
|
||||
|
||||
@@ -0,0 +1,30 @@
|
||||
import sys
|
||||
import types
|
||||
from unittest.mock import MagicMock
|
||||
|
||||
|
||||
def _install_reachy2_sdk_stub():
|
||||
sdk = types.ModuleType("reachy2_sdk")
|
||||
sdk.__path__ = []
|
||||
sdk.ReachySDK = MagicMock(name="ReachySDK")
|
||||
|
||||
media = types.ModuleType("reachy2_sdk.media")
|
||||
media.__path__ = []
|
||||
camera = types.ModuleType("reachy2_sdk.media.camera")
|
||||
camera.CameraView = MagicMock(name="CameraView")
|
||||
camera_manager = types.ModuleType("reachy2_sdk.media.camera_manager")
|
||||
camera_manager.CameraManager = MagicMock(name="CameraManager")
|
||||
|
||||
sdk.media = media
|
||||
media.camera = camera
|
||||
media.camera_manager = camera_manager
|
||||
|
||||
# Register in sys.modules
|
||||
sys.modules.setdefault("reachy2_sdk", sdk)
|
||||
sys.modules.setdefault("reachy2_sdk.media", media)
|
||||
sys.modules.setdefault("reachy2_sdk.media.camera", camera)
|
||||
sys.modules.setdefault("reachy2_sdk.media.camera_manager", camera_manager)
|
||||
|
||||
|
||||
def pytest_sessionstart(session):
|
||||
_install_reachy2_sdk_stub()
|
||||
@@ -51,8 +51,6 @@ PARAMS = [
|
||||
{"with_left_teleop_camera": False, "with_torso_camera": True},
|
||||
]
|
||||
|
||||
pytest.importorskip("reachy2_sdk")
|
||||
|
||||
|
||||
def _make_reachy2_sdk_mock():
|
||||
class JointSpy:
|
||||
|
||||
@@ -28,8 +28,6 @@ from lerobot.teleoperators.reachy2_teleoperator import (
|
||||
Reachy2TeleoperatorConfig,
|
||||
)
|
||||
|
||||
pytest.importorskip("reachy2_sdk")
|
||||
|
||||
# {lerobot_keys: reachy2_sdk_keys}
|
||||
REACHY2_JOINTS = {
|
||||
**REACHY2_NECK_JOINTS,
|
||||
|
||||
Reference in New Issue
Block a user