mirror of
https://github.com/huggingface/lerobot.git
synced 2026-05-28 06:59:44 +00:00
Merge branch 'main' into feature/add-multitask-dit
This commit is contained in:
@@ -100,11 +100,11 @@ lerobot-train \
|
||||
--dataset.repo_id=lerobot/aloha_mobile_cabinet
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```
|
||||
|
||||
| Category | Models |
|
||||
| -------------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
|
||||
| **Imitation Learning** | [ACT](./docs/source/policy_act_README.md), [Diffusion](./docs/source/policy_diffusion_README.md), [VQ-BeT](./docs/source/policy_vqbet_README.md) |
|
||||
| **Reinforcement Learning** | [HIL-SERL](./docs/source/hilserl.mdx), [TDMPC](./docs/source/policy_tdmpc_README.md) & QC-FQL (coming soon) |
|
||||
| **VLAs Models** | [Pi0.5](./docs/source/pi05.mdx), [GR00T N1.5](./docs/source/policy_groot_README.md), [SmolVLA](./docs/source/policy_smolvla_README.md), [XVLA](./docs/source/xvla.mdx) |
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| Category | Models |
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||||
| -------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ |
|
||||
| **Imitation Learning** | [ACT](./docs/source/policy_act_README.md), [Diffusion](./docs/source/policy_diffusion_README.md), [VQ-BeT](./docs/source/policy_vqbet_README.md) |
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| **Reinforcement Learning** | [HIL-SERL](./docs/source/hilserl.mdx), [TDMPC](./docs/source/policy_tdmpc_README.md) & QC-FQL (coming soon) |
|
||||
| **VLAs Models** | [Pi0Fast](./docs/source/pi0fast.mdx), [Pi0.5](./docs/source/pi05.mdx), [GR00T N1.5](./docs/source/policy_groot_README.md), [SmolVLA](./docs/source/policy_smolvla_README.md), [XVLA](./docs/source/xvla.mdx) |
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Similarly to the hardware, you can easily implement your own policy & leverage LeRobot's data collection, training, and visualization tools, and share your model to the HF Hub
|
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|
||||
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||||
@@ -138,6 +138,7 @@ from lerobot.teleoperators import ( # noqa: F401
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||||
TeleoperatorConfig,
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make_teleoperator_from_config,
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so_leader,
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bi_so_leader,
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)
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from lerobot.utils.robot_utils import precise_sleep
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from lerobot.utils.utils import init_logging
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@@ -12,6 +12,12 @@ Developers and researchers can post-train GR00T N1.5 with their own real or synt
|
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|
||||
GR00T N1.5 (specifically the GR00T-N1.5-3B model) is built using pre-trained vision and language encoders. It utilizes a flow matching action transformer to model a chunk of actions, conditioned on vision, language, and proprioception.
|
||||
|
||||
<img
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||||
src="https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/lerobot/lerobot-groot-paper1%20(1).png"
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alt="An overview of GR00T"
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width="80%"
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||||
/>
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||||
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Its strong performance comes from being trained on an expansive and diverse humanoid dataset, which includes:
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|
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- Real captured data from robots.
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@@ -103,7 +109,7 @@ Once you have trained your model using your parameters you can run inference in
|
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|
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```bash
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lerobot-record \
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--robot.type=bi_so100_follower \
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--robot.type=bi_so_follower \
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||||
--robot.left_arm_port=/dev/ttyACM1 \
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--robot.right_arm_port=/dev/ttyACM0 \
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--robot.id=bimanual_follower \
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|
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@@ -6,6 +6,12 @@
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||||
|
||||
π₀ represents a breakthrough in robotics as the first general-purpose robot foundation model developed by [Physical Intelligence](https://www.physicalintelligence.company/blog/pi0). Unlike traditional robot programs that are narrow specialists programmed for repetitive motions, π₀ is designed to be a generalist policy that can understand visual inputs, interpret natural language instructions, and control a variety of different robots across diverse tasks.
|
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|
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<img
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||||
src="https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/lerobot/lerobot-pi0%20(1).png"
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alt="An overview of Pi0"
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||||
width="85%"
|
||||
/>
|
||||
|
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### The Vision for Physical Intelligence
|
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As described by Physical Intelligence, while AI has achieved remarkable success in digital domains, from chess-playing to drug discovery, human intelligence still dramatically outpaces AI in the physical world. To paraphrase Moravec's paradox, winning a game of chess represents an "easy" problem for AI, but folding a shirt or cleaning up a table requires solving some of the most difficult engineering problems ever conceived. π₀ represents a first step toward developing artificial physical intelligence that enables users to simply ask robots to perform any task they want, just like they can with large language models.
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+66
-2
@@ -6,6 +6,12 @@
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||||
|
||||
π₀-FAST combines the power of Vision-Language Models with a novel action tokenization approach called **FAST (Frequency-space Action Sequence Tokenization)**. This enables training autoregressive VLAs on highly dexterous tasks that are impossible with standard binning-based discretization, while training **up to 5x faster** than diffusion-based approaches like π₀.
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|
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<img
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||||
src="https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/lerobot/lerobot-pifast.png"
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alt="An overview of Pi0-FAST"
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||||
width="85%"
|
||||
/>
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||||
|
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### Why FAST?
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|
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Standard approaches for robot action tokenization use simple per-dimension, per-timestep binning schemes. While passable for simple behaviors, this rapidly breaks down for complex and dexterous skills that require precision and high-frequency control.
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@@ -53,7 +59,7 @@ You have two options for the FAST tokenizer:
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### Training Your Own Tokenizer
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```bash
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python src/lerobot/policies/pi0_fast/train_fast_tokenizer.py \
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lerobot-train-tokenizer \
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--repo_id "user/my-lerobot-dataset" \
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--action_horizon 10 \
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--encoded_dims "0:6" \
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@@ -90,7 +96,7 @@ policy.type=pi0_fast
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For training π₀-FAST, you can use the LeRobot training script:
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|
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```bash
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python src/lerobot/scripts/lerobot_train.py \
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lerobot-train \
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--dataset.repo_id=your_dataset \
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--policy.type=pi0_fast \
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--output_dir=./outputs/pi0fast_training \
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@@ -171,6 +177,64 @@ The model takes images, text instructions, and robot state as input, and outputs
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| Inference Method | Iterative Denoising | Autoregressive Decoding |
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| KV-Caching | N/A | Supported |
|
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## Reproducing π₀Fast results
|
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We reproduce the results of π₀Fast on the LIBERO benchmark using the LeRobot implementation. We take the LeRobot PiFast base model [lerobot/pi0fast-base](https://huggingface.co/lerobot/pi0fast-base) and finetune for an additional 40kk steps in bfloat16, with batch size of 256 on 8 H100 GPUs using the [HuggingFace LIBERO dataset](https://huggingface.co/datasets/HuggingFaceVLA/libero).
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The finetuned model can be found here:
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- **π₀Fast LIBERO**: [lerobot/pi0fast-libero](https://huggingface.co/lerobot/pi0fast-libero)
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|
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With the following training command:
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|
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```bash
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lerobot-train \
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--dataset.repo_id=lerobot/libero \
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--output_dir=outputs/libero_pi0fast \
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--job_name=libero_pi0fast \
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--policy.path=lerobot/pi0fast_base \
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--policy.dtype=bfloat16 \
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--steps=100000 \
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--save_freq=20000 \
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--batch_size=4 \
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--policy.device=cuda \
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--policy.scheduler_warmup_steps=4000 \
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--policy.scheduler_decay_steps=100000 \
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--policy.scheduler_decay_lr=1e-5 \
|
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--policy.gradient_checkpointing=true \
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--policy.chunk_size=10 \
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--policy.n_action_steps=10 \
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--policy.max_action_tokens=256 \
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--policy.empty_cameras=1 \
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||||
```
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||||
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||||
We then evaluate the finetuned model using the LeRobot LIBERO implementation, by running the following command:
|
||||
|
||||
```bash
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||||
tasks="libero_object,libero_spatial,libero_goal,libero_10"
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lerobot-eval \
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||||
--policy.path=lerobot/pi0fast-libero \
|
||||
--policy.max_action_tokens=256 \
|
||||
--env.type=libero \
|
||||
--policy.gradient_checkpointing=false \
|
||||
--env.task=${tasks} \
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||||
--eval.batch_size=1 \
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||||
--eval.n_episodes=1 \
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||||
--rename_map='{"observation.images.image":"observation.images.base_0_rgb","observation.images.image2":"observation.images.left_wrist_0_rgb"}'
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||||
```
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||||
|
||||
**Note:** We set `n_action_steps=10`, similar to the original OpenPI implementation.
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||||
|
||||
### Results
|
||||
|
||||
We obtain the following results on the LIBERO benchmark:
|
||||
|
||||
| Model | LIBERO Spatial | LIBERO Object | LIBERO Goal | LIBERO 10 | Average |
|
||||
| ----------- | -------------- | ------------- | ----------- | --------- | -------- |
|
||||
| **π₀-fast** | 70.0 | 100.0 | 100.0 | 60.0 | **82.5** |
|
||||
|
||||
The full evaluation output folder, including videos, is available [here](https://drive.google.com/drive/folders/1HXpwPTRm4hx6g1sF2P7OOqGG0TwPU7LQ?usp=sharing)
|
||||
|
||||
## License
|
||||
|
||||
This model follows the **Apache 2.0 License**, consistent with the original [OpenPI repository](https://github.com/Physical-Intelligence/openpi).
|
||||
|
||||
@@ -4,6 +4,12 @@ SARM (Stage-Aware Reward Modeling) is a video-based reward modeling framework fo
|
||||
|
||||
**Paper**: [SARM: Stage-Aware Reward Modeling for Long Horizon Robot Manipulation](https://arxiv.org/abs/2509.25358)
|
||||
|
||||
<img
|
||||
src="https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/lerobot/lerobot-sarm.png"
|
||||
alt="An overview of SARM"
|
||||
width="80%"
|
||||
/>
|
||||
|
||||
## Why Reward Models?
|
||||
|
||||
Standard behavior cloning treats all demonstration frames equally, but real-world robot datasets are messy. They contain hesitations, corrections, and variable-quality trajectories. Reward models solve this by learning a generalizable notion of **task progress** from demonstrations: given video frames and a task description, they predict how close the robot is to completing the task (0→1). This learned "progress signal" can be used in multiple ways, two promising applications are: (1) **weighted imitation learning** (RA-BC), where high-progress frames receive more weight during policy training, and (2) **reinforcement learning**, where the reward model provides dense rewards for online or offline policy improvement.
|
||||
|
||||
@@ -8,6 +8,12 @@ X Square Robot’s WALL-OSS is now integrated into Hugging Face’s LeRobot ecos
|
||||
|
||||
The WALL-OSS team is building the embodied foundation model to capture and compress the world's most valuable data: the continuous, high-fidelity stream of physical interaction. By creating a direct feedback loop between the model's decisions and the body's lived experience, the emergence of a truly generalizable intelligence is enabled—one that understands not just how the world works, but how to act effectively within it.
|
||||
|
||||
<img
|
||||
src="https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/lerobot/walloss-lerobot-paper.png"
|
||||
alt="An overview of WALL-OSS"
|
||||
width="85%"
|
||||
/>
|
||||
|
||||
Technically, WALL-OSS introduces a tightly coupled multimodal architecture (tightly-coupled MoE structure) that integrates both discrete and continuous action modeling strategies. Through a two-stage training pipeline (Inspiration → Integration), the model gradually unifies semantic reasoning and high-frequency action generation. Its core innovations include:
|
||||
|
||||
- **Embodied perception–enhanced multimodal pretraining**: Large-scale training on unified vision–language–action data to strengthen spatial, causal, and manipulation understanding.
|
||||
|
||||
@@ -94,6 +94,7 @@ from lerobot.rl.process import ProcessSignalHandler
|
||||
from lerobot.robots import ( # noqa: F401
|
||||
Robot,
|
||||
RobotConfig,
|
||||
bi_so_follower,
|
||||
koch_follower,
|
||||
so_follower,
|
||||
)
|
||||
|
||||
@@ -34,8 +34,7 @@ from lerobot.robots.so_follower.robot_kinematic_processor import (
|
||||
InverseKinematicsEEToJoints,
|
||||
)
|
||||
from lerobot.scripts.lerobot_record import record_loop
|
||||
from lerobot.teleoperators.so_leader import SO100LeaderConfig
|
||||
from lerobot.teleoperators.so_leader.so100_leader import SO100Leader
|
||||
from lerobot.teleoperators.so_leader import SO100Leader, SO100LeaderConfig
|
||||
from lerobot.utils.control_utils import init_keyboard_listener
|
||||
from lerobot.utils.utils import log_say
|
||||
from lerobot.utils.visualization_utils import init_rerun
|
||||
|
||||
@@ -29,8 +29,7 @@ from lerobot.robots.so_follower.robot_kinematic_processor import (
|
||||
ForwardKinematicsJointsToEE,
|
||||
InverseKinematicsEEToJoints,
|
||||
)
|
||||
from lerobot.teleoperators.so_leader import SO100LeaderConfig
|
||||
from lerobot.teleoperators.so_leader.so100_leader import SO100Leader
|
||||
from lerobot.teleoperators.so_leader import SO100Leader, SO100LeaderConfig
|
||||
from lerobot.utils.robot_utils import precise_sleep
|
||||
from lerobot.utils.visualization_utils import init_rerun, log_rerun_data
|
||||
|
||||
|
||||
@@ -198,6 +198,7 @@ lerobot-setup-motors="lerobot.scripts.lerobot_setup_motors:main"
|
||||
lerobot-teleoperate="lerobot.scripts.lerobot_teleoperate:main"
|
||||
lerobot-eval="lerobot.scripts.lerobot_eval:main"
|
||||
lerobot-train="lerobot.scripts.lerobot_train:main"
|
||||
lerobot-train-tokenizer="lerobot.scripts.lerobot_train_tokenizer:main"
|
||||
lerobot-dataset-viz="lerobot.scripts.lerobot_dataset_viz:main"
|
||||
lerobot-info="lerobot.scripts.lerobot_info:main"
|
||||
lerobot-find-joint-limits="lerobot.scripts.lerobot_find_joint_limits:main"
|
||||
|
||||
@@ -26,4 +26,4 @@ DEFAULT_OBS_QUEUE_TIMEOUT = 2
|
||||
SUPPORTED_POLICIES = ["act", "smolvla", "diffusion", "tdmpc", "vqbet", "pi0", "pi05"]
|
||||
|
||||
# TODO: Add all other robots
|
||||
SUPPORTED_ROBOTS = ["so100_follower", "so101_follower", "bi_so100_follower", "omx_follower"]
|
||||
SUPPORTED_ROBOTS = ["so100_follower", "so101_follower", "bi_so_follower", "omx_follower"]
|
||||
|
||||
@@ -51,7 +51,7 @@ from lerobot.cameras.realsense.configuration_realsense import RealSenseCameraCon
|
||||
from lerobot.robots import ( # noqa: F401
|
||||
Robot,
|
||||
RobotConfig,
|
||||
bi_so100_follower,
|
||||
bi_so_follower,
|
||||
koch_follower,
|
||||
make_robot_from_config,
|
||||
omx_follower,
|
||||
|
||||
@@ -1,39 +0,0 @@
|
||||
#!/usr/bin/env python
|
||||
|
||||
# Copyright 2025 The HuggingFace Inc. team. All rights reserved.
|
||||
#
|
||||
# Licensed under the Apache License, Version 2.0 (the "License");
|
||||
# you may not use this file except in compliance with the License.
|
||||
# You may obtain a copy of the License at
|
||||
#
|
||||
# http://www.apache.org/licenses/LICENSE-2.0
|
||||
#
|
||||
# Unless required by applicable law or agreed to in writing, software
|
||||
# distributed under the License is distributed on an "AS IS" BASIS,
|
||||
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
# See the License for the specific language governing permissions and
|
||||
# limitations under the License.
|
||||
|
||||
from dataclasses import dataclass, field
|
||||
|
||||
from lerobot.cameras import CameraConfig
|
||||
|
||||
from ..config import RobotConfig
|
||||
|
||||
|
||||
@RobotConfig.register_subclass("bi_so100_follower")
|
||||
@dataclass
|
||||
class BiSO100FollowerConfig(RobotConfig):
|
||||
left_arm_port: str
|
||||
right_arm_port: str
|
||||
|
||||
# Optional
|
||||
left_arm_disable_torque_on_disconnect: bool = True
|
||||
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: float | dict[str, float] | None = None
|
||||
right_arm_use_degrees: bool = False
|
||||
|
||||
# cameras (shared between both arms)
|
||||
cameras: dict[str, CameraConfig] = field(default_factory=dict)
|
||||
+3
-3
@@ -1,6 +1,6 @@
|
||||
#!/usr/bin/env python
|
||||
|
||||
# Copyright 2025 The HuggingFace Inc. team. All rights reserved.
|
||||
# Copyright 2026 The HuggingFace Inc. team. All rights reserved.
|
||||
#
|
||||
# Licensed under the Apache License, Version 2.0 (the "License");
|
||||
# you may not use this file except in compliance with the License.
|
||||
@@ -14,5 +14,5 @@
|
||||
# See the License for the specific language governing permissions and
|
||||
# limitations under the License.
|
||||
|
||||
from .bi_so100_leader import BiSO100Leader
|
||||
from .config_bi_so100_leader import BiSO100LeaderConfig
|
||||
from .bi_so_follower import BiSOFollower
|
||||
from .config_bi_so_follower import BiSOFollowerConfig
|
||||
+41
-50
@@ -15,66 +15,73 @@
|
||||
# limitations under the License.
|
||||
|
||||
import logging
|
||||
import time
|
||||
from functools import cached_property
|
||||
from typing import Any
|
||||
|
||||
from lerobot.cameras.utils import make_cameras_from_configs
|
||||
from lerobot.robots.so_follower import SO100Follower, SO100FollowerConfig
|
||||
from lerobot.robots.so_follower import SOFollower, SOFollowerRobotConfig
|
||||
|
||||
from ..robot import Robot
|
||||
from .config_bi_so100_follower import BiSO100FollowerConfig
|
||||
from .config_bi_so_follower import BiSOFollowerConfig
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
|
||||
class BiSO100Follower(Robot):
|
||||
class BiSOFollower(Robot):
|
||||
"""
|
||||
[Bimanual SO-100 Follower Arms](https://github.com/TheRobotStudio/SO-ARM100) designed by TheRobotStudio
|
||||
This bimanual robot can also be easily adapted to use SO-101 follower arms, just replace the SO100Follower class with SO101Follower and SO100FollowerConfig with SO101FollowerConfig.
|
||||
[Bimanual SO Follower Arms](https://github.com/TheRobotStudio/SO-ARM100) designed by TheRobotStudio
|
||||
"""
|
||||
|
||||
config_class = BiSO100FollowerConfig
|
||||
name = "bi_so100_follower"
|
||||
config_class = BiSOFollowerConfig
|
||||
name = "bi_so_follower"
|
||||
|
||||
def __init__(self, config: BiSO100FollowerConfig):
|
||||
def __init__(self, config: BiSOFollowerConfig):
|
||||
super().__init__(config)
|
||||
self.config = config
|
||||
|
||||
left_arm_config = SO100FollowerConfig(
|
||||
left_arm_config = SOFollowerRobotConfig(
|
||||
id=f"{config.id}_left" if config.id else None,
|
||||
calibration_dir=config.calibration_dir,
|
||||
port=config.left_arm_port,
|
||||
disable_torque_on_disconnect=config.left_arm_disable_torque_on_disconnect,
|
||||
max_relative_target=config.left_arm_max_relative_target,
|
||||
use_degrees=config.left_arm_use_degrees,
|
||||
cameras={},
|
||||
port=config.left_arm_config.port,
|
||||
disable_torque_on_disconnect=config.left_arm_config.disable_torque_on_disconnect,
|
||||
max_relative_target=config.left_arm_config.max_relative_target,
|
||||
use_degrees=config.left_arm_config.use_degrees,
|
||||
cameras=config.left_arm_config.cameras,
|
||||
)
|
||||
|
||||
right_arm_config = SO100FollowerConfig(
|
||||
right_arm_config = SOFollowerRobotConfig(
|
||||
id=f"{config.id}_right" if config.id else None,
|
||||
calibration_dir=config.calibration_dir,
|
||||
port=config.right_arm_port,
|
||||
disable_torque_on_disconnect=config.right_arm_disable_torque_on_disconnect,
|
||||
max_relative_target=config.right_arm_max_relative_target,
|
||||
use_degrees=config.right_arm_use_degrees,
|
||||
cameras={},
|
||||
port=config.right_arm_config.port,
|
||||
disable_torque_on_disconnect=config.right_arm_config.disable_torque_on_disconnect,
|
||||
max_relative_target=config.right_arm_config.max_relative_target,
|
||||
use_degrees=config.right_arm_config.use_degrees,
|
||||
cameras=config.right_arm_config.cameras,
|
||||
)
|
||||
|
||||
self.left_arm = SO100Follower(left_arm_config)
|
||||
self.right_arm = SO100Follower(right_arm_config)
|
||||
self.cameras = make_cameras_from_configs(config.cameras)
|
||||
self.left_arm = SOFollower(left_arm_config)
|
||||
self.right_arm = SOFollower(right_arm_config)
|
||||
|
||||
# Only for compatibility with other parts of the codebase that expect a `robot.cameras` attribute
|
||||
self.cameras = {**self.left_arm.cameras, **self.right_arm.cameras}
|
||||
|
||||
@property
|
||||
def _motors_ft(self) -> dict[str, type]:
|
||||
return {f"left_{motor}.pos": float for motor in self.left_arm.bus.motors} | {
|
||||
f"right_{motor}.pos": float for motor in self.right_arm.bus.motors
|
||||
left_arm_motors_ft = self.left_arm._motors_ft
|
||||
right_arm_motors_ft = self.right_arm._motors_ft
|
||||
|
||||
return {
|
||||
**{f"left_{k}": v for k, v in left_arm_motors_ft.items()},
|
||||
**{f"right_{k}": v for k, v in right_arm_motors_ft.items()},
|
||||
}
|
||||
|
||||
@property
|
||||
def _cameras_ft(self) -> dict[str, tuple]:
|
||||
left_arm_cameras_ft = self.left_arm._cameras_ft
|
||||
right_arm_cameras_ft = self.right_arm._cameras_ft
|
||||
|
||||
return {
|
||||
cam: (self.config.cameras[cam].height, self.config.cameras[cam].width, 3) for cam in self.cameras
|
||||
**{f"left_{k}": v for k, v in left_arm_cameras_ft.items()},
|
||||
**{f"right_{k}": v for k, v in right_arm_cameras_ft.items()},
|
||||
}
|
||||
|
||||
@cached_property
|
||||
@@ -87,19 +94,12 @@ class BiSO100Follower(Robot):
|
||||
|
||||
@property
|
||||
def is_connected(self) -> bool:
|
||||
return (
|
||||
self.left_arm.bus.is_connected
|
||||
and self.right_arm.bus.is_connected
|
||||
and all(cam.is_connected for cam in self.cameras.values())
|
||||
)
|
||||
return self.left_arm.is_connected and self.right_arm.is_connected
|
||||
|
||||
def connect(self, calibrate: bool = True) -> None:
|
||||
self.left_arm.connect(calibrate)
|
||||
self.right_arm.connect(calibrate)
|
||||
|
||||
for cam in self.cameras.values():
|
||||
cam.connect()
|
||||
|
||||
@property
|
||||
def is_calibrated(self) -> bool:
|
||||
return self.left_arm.is_calibrated and self.right_arm.is_calibrated
|
||||
@@ -127,12 +127,6 @@ class BiSO100Follower(Robot):
|
||||
right_obs = self.right_arm.get_observation()
|
||||
obs_dict.update({f"right_{key}": value for key, value in right_obs.items()})
|
||||
|
||||
for cam_key, cam in self.cameras.items():
|
||||
start = time.perf_counter()
|
||||
obs_dict[cam_key] = cam.async_read()
|
||||
dt_ms = (time.perf_counter() - start) * 1e3
|
||||
logger.debug(f"{self} read {cam_key}: {dt_ms:.1f}ms")
|
||||
|
||||
return obs_dict
|
||||
|
||||
def send_action(self, action: dict[str, Any]) -> dict[str, Any]:
|
||||
@@ -145,18 +139,15 @@ class BiSO100Follower(Robot):
|
||||
key.removeprefix("right_"): value for key, value in action.items() if key.startswith("right_")
|
||||
}
|
||||
|
||||
send_action_left = self.left_arm.send_action(left_action)
|
||||
send_action_right = self.right_arm.send_action(right_action)
|
||||
sent_action_left = self.left_arm.send_action(left_action)
|
||||
sent_action_right = self.right_arm.send_action(right_action)
|
||||
|
||||
# Add prefixes back
|
||||
prefixed_send_action_left = {f"left_{key}": value for key, value in send_action_left.items()}
|
||||
prefixed_send_action_right = {f"right_{key}": value for key, value in send_action_right.items()}
|
||||
prefixed_sent_action_left = {f"left_{key}": value for key, value in sent_action_left.items()}
|
||||
prefixed_sent_action_right = {f"right_{key}": value for key, value in sent_action_right.items()}
|
||||
|
||||
return {**prefixed_send_action_left, **prefixed_send_action_right}
|
||||
return {**prefixed_sent_action_left, **prefixed_sent_action_right}
|
||||
|
||||
def disconnect(self):
|
||||
self.left_arm.disconnect()
|
||||
self.right_arm.disconnect()
|
||||
|
||||
for cam in self.cameras.values():
|
||||
cam.disconnect()
|
||||
+9
-5
@@ -16,11 +16,15 @@
|
||||
|
||||
from dataclasses import dataclass
|
||||
|
||||
from ...config import TeleoperatorConfig
|
||||
from ..so_leader_config_base import SOLeaderConfigBase
|
||||
from lerobot.robots.so_follower import SOFollowerConfig
|
||||
|
||||
from ..config import RobotConfig
|
||||
|
||||
|
||||
@TeleoperatorConfig.register_subclass("so101_leader")
|
||||
@RobotConfig.register_subclass("bi_so_follower")
|
||||
@dataclass
|
||||
class SO101LeaderConfig(SOLeaderConfigBase):
|
||||
pass
|
||||
class BiSOFollowerConfig(RobotConfig):
|
||||
"""Configuration class for Bi SO Follower robots."""
|
||||
|
||||
left_arm_config: SOFollowerConfig
|
||||
right_arm_config: SOFollowerConfig
|
||||
@@ -14,10 +14,10 @@
|
||||
# See the License for the specific language governing permissions and
|
||||
# limitations under the License.
|
||||
|
||||
|
||||
from .so100_follower.config_so100_follower import SO100FollowerConfig
|
||||
from .so100_follower.so100_follower import SO100Follower
|
||||
from .so101_follower.config_so101_follower import SO101FollowerConfig
|
||||
from .so101_follower.so101_follower import SO101Follower
|
||||
from .so_follower_base import SOFollowerBase
|
||||
from .so_follower_config_base import SOFollowerConfigBase
|
||||
from .config_so_follower import (
|
||||
SO100FollowerConfig,
|
||||
SO101FollowerConfig,
|
||||
SOFollowerConfig,
|
||||
SOFollowerRobotConfig,
|
||||
)
|
||||
from .so_follower import SO100Follower, SO101Follower, SOFollower
|
||||
|
||||
+13
-1
@@ -15,6 +15,7 @@
|
||||
# limitations under the License.
|
||||
|
||||
from dataclasses import dataclass, field
|
||||
from typing import TypeAlias
|
||||
|
||||
from lerobot.cameras import CameraConfig
|
||||
|
||||
@@ -22,7 +23,7 @@ from ..config import RobotConfig
|
||||
|
||||
|
||||
@dataclass
|
||||
class SOFollowerConfigBase(RobotConfig):
|
||||
class SOFollowerConfig:
|
||||
"""Base configuration class for SO Follower robots."""
|
||||
|
||||
# Port to connect to the arm
|
||||
@@ -40,3 +41,14 @@ class SOFollowerConfigBase(RobotConfig):
|
||||
|
||||
# Set to `True` for backward compatibility with previous policies/dataset
|
||||
use_degrees: bool = False
|
||||
|
||||
|
||||
@RobotConfig.register_subclass("so101_follower")
|
||||
@RobotConfig.register_subclass("so100_follower")
|
||||
@dataclass
|
||||
class SOFollowerRobotConfig(RobotConfig, SOFollowerConfig):
|
||||
pass
|
||||
|
||||
|
||||
SO100FollowerConfig: TypeAlias = SOFollowerRobotConfig
|
||||
SO101FollowerConfig: TypeAlias = SOFollowerRobotConfig
|
||||
+1
@@ -0,0 +1 @@
|
||||
../../../../docs/source/so100.mdx
|
||||
@@ -1,26 +0,0 @@
|
||||
#!/usr/bin/env python
|
||||
|
||||
# Copyright 2026 The HuggingFace Inc. team. All rights reserved.
|
||||
#
|
||||
# Licensed under the Apache License, Version 2.0 (the "License");
|
||||
# you may not use this file except in compliance with the License.
|
||||
# You may obtain a copy of the License at
|
||||
#
|
||||
# http://www.apache.org/licenses/LICENSE-2.0
|
||||
#
|
||||
# Unless required by applicable law or agreed to in writing, software
|
||||
# distributed under the License is distributed on an "AS IS" BASIS,
|
||||
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
# See the License for the specific language governing permissions and
|
||||
# limitations under the License.
|
||||
|
||||
from dataclasses import dataclass
|
||||
|
||||
from ...config import RobotConfig
|
||||
from ..so_follower_config_base import SOFollowerConfigBase
|
||||
|
||||
|
||||
@RobotConfig.register_subclass("so100_follower")
|
||||
@dataclass
|
||||
class SO100FollowerConfig(SOFollowerConfigBase):
|
||||
pass
|
||||
@@ -1 +0,0 @@
|
||||
../../../../../docs/source/so100.mdx
|
||||
@@ -1,27 +0,0 @@
|
||||
#!/usr/bin/env python
|
||||
|
||||
# Copyright 2026 The HuggingFace Inc. team. All rights reserved.
|
||||
#
|
||||
# Licensed under the Apache License, Version 2.0 (the "License");
|
||||
# you may not use this file except in compliance with the License.
|
||||
# You may obtain a copy of the License at
|
||||
#
|
||||
# http://www.apache.org/licenses/LICENSE-2.0
|
||||
#
|
||||
# Unless required by applicable law or agreed to in writing, software
|
||||
# distributed under the License is distributed on an "AS IS" BASIS,
|
||||
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
# See the License for the specific language governing permissions and
|
||||
# limitations under the License.
|
||||
|
||||
from ..so_follower_base import SOFollowerBase
|
||||
from .config_so100_follower import SO100FollowerConfig
|
||||
|
||||
|
||||
class SO100Follower(SOFollowerBase):
|
||||
"""
|
||||
SO-101 follower robot class. [SO-101 Follower Arm](https://github.com/TheRobotStudio/SO-ARM100) designed by TheRobotStudio
|
||||
"""
|
||||
|
||||
config_class = SO100FollowerConfig
|
||||
name = "so100_follower"
|
||||
+1
@@ -0,0 +1 @@
|
||||
../../../../docs/source/so101.mdx
|
||||
@@ -1,26 +0,0 @@
|
||||
#!/usr/bin/env python
|
||||
|
||||
# Copyright 2026 The HuggingFace Inc. team. All rights reserved.
|
||||
#
|
||||
# Licensed under the Apache License, Version 2.0 (the "License");
|
||||
# you may not use this file except in compliance with the License.
|
||||
# You may obtain a copy of the License at
|
||||
#
|
||||
# http://www.apache.org/licenses/LICENSE-2.0
|
||||
#
|
||||
# Unless required by applicable law or agreed to in writing, software
|
||||
# distributed under the License is distributed on an "AS IS" BASIS,
|
||||
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
# See the License for the specific language governing permissions and
|
||||
# limitations under the License.
|
||||
|
||||
from dataclasses import dataclass
|
||||
|
||||
from ...config import RobotConfig
|
||||
from ..so_follower_config_base import SOFollowerConfigBase
|
||||
|
||||
|
||||
@RobotConfig.register_subclass("so101_follower")
|
||||
@dataclass
|
||||
class SO101FollowerConfig(SOFollowerConfigBase):
|
||||
pass
|
||||
@@ -1 +0,0 @@
|
||||
../../../../../docs/source/so101.mdx
|
||||
@@ -1,27 +0,0 @@
|
||||
#!/usr/bin/env python
|
||||
|
||||
# Copyright 2026 The HuggingFace Inc. team. All rights reserved.
|
||||
#
|
||||
# Licensed under the Apache License, Version 2.0 (the "License");
|
||||
# you may not use this file except in compliance with the License.
|
||||
# You may obtain a copy of the License at
|
||||
#
|
||||
# http://www.apache.org/licenses/LICENSE-2.0
|
||||
#
|
||||
# Unless required by applicable law or agreed to in writing, software
|
||||
# distributed under the License is distributed on an "AS IS" BASIS,
|
||||
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
# See the License for the specific language governing permissions and
|
||||
# limitations under the License.
|
||||
|
||||
from ..so_follower_base import SOFollowerBase
|
||||
from .config_so101_follower import SO101FollowerConfig
|
||||
|
||||
|
||||
class SO101Follower(SOFollowerBase):
|
||||
"""
|
||||
SO-101 follower robot class. [SO-101 Follower Arm](https://github.com/TheRobotStudio/SO-ARM100) designed by TheRobotStudio
|
||||
"""
|
||||
|
||||
config_class = SO101FollowerConfig
|
||||
name = "so101_follower"
|
||||
+10
-5
@@ -17,7 +17,7 @@
|
||||
import logging
|
||||
import time
|
||||
from functools import cached_property
|
||||
from typing import Any
|
||||
from typing import Any, TypeAlias
|
||||
|
||||
from lerobot.cameras.utils import make_cameras_from_configs
|
||||
from lerobot.motors import Motor, MotorCalibration, MotorNormMode
|
||||
@@ -29,20 +29,21 @@ from lerobot.utils.errors import DeviceAlreadyConnectedError, DeviceNotConnected
|
||||
|
||||
from ..robot import Robot
|
||||
from ..utils import ensure_safe_goal_position
|
||||
from .so_follower_config_base import SOFollowerConfigBase
|
||||
from .config_so_follower import SOFollowerRobotConfig
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
|
||||
class SOFollowerBase(Robot):
|
||||
class SOFollower(Robot):
|
||||
"""
|
||||
Generic SO follower base implementing common functionality for SO-100/101/10X.
|
||||
Designed to be subclassed with a per-hardware-model `config_class` and `name`.
|
||||
"""
|
||||
|
||||
# `config_class` and `name` should be set by subclasses
|
||||
config_class = SOFollowerRobotConfig
|
||||
name = "so_follower"
|
||||
|
||||
def __init__(self, config: SOFollowerConfigBase):
|
||||
def __init__(self, config: SOFollowerRobotConfig):
|
||||
super().__init__(config)
|
||||
self.config = config
|
||||
# choose normalization mode depending on config if available
|
||||
@@ -232,3 +233,7 @@ class SOFollowerBase(Robot):
|
||||
cam.disconnect()
|
||||
|
||||
logger.info(f"{self} disconnected.")
|
||||
|
||||
|
||||
SO100Follower: TypeAlias = SOFollower
|
||||
SO101Follower: TypeAlias = SOFollower
|
||||
@@ -52,10 +52,10 @@ def make_robot_from_config(config: RobotConfig) -> Robot:
|
||||
from .hope_jr import HopeJrArm
|
||||
|
||||
return HopeJrArm(config)
|
||||
elif config.type == "bi_so100_follower":
|
||||
from .bi_so100_follower import BiSO100Follower
|
||||
elif config.type == "bi_so_follower":
|
||||
from .bi_so_follower import BiSOFollower
|
||||
|
||||
return BiSO100Follower(config)
|
||||
return BiSOFollower(config)
|
||||
elif config.type == "reachy2":
|
||||
from .reachy2 import Reachy2Robot
|
||||
|
||||
|
||||
@@ -36,6 +36,7 @@ from lerobot.cameras.realsense.configuration_realsense import RealSenseCameraCon
|
||||
from lerobot.robots import ( # noqa: F401
|
||||
Robot,
|
||||
RobotConfig,
|
||||
bi_so_follower,
|
||||
hope_jr,
|
||||
koch_follower,
|
||||
lekiwi,
|
||||
@@ -46,6 +47,7 @@ from lerobot.robots import ( # noqa: F401
|
||||
from lerobot.teleoperators import ( # noqa: F401
|
||||
Teleoperator,
|
||||
TeleoperatorConfig,
|
||||
bi_so_leader,
|
||||
homunculus,
|
||||
koch_leader,
|
||||
make_teleoperator_from_config,
|
||||
|
||||
@@ -44,6 +44,7 @@ import numpy as np
|
||||
from lerobot.model.kinematics import RobotKinematics
|
||||
from lerobot.robots import ( # noqa: F401
|
||||
RobotConfig,
|
||||
bi_so_follower,
|
||||
koch_follower,
|
||||
make_robot_from_config,
|
||||
omx_follower,
|
||||
@@ -51,6 +52,7 @@ from lerobot.robots import ( # noqa: F401
|
||||
)
|
||||
from lerobot.teleoperators import ( # noqa: F401
|
||||
TeleoperatorConfig,
|
||||
bi_so_leader,
|
||||
gamepad,
|
||||
koch_leader,
|
||||
make_teleoperator_from_config,
|
||||
|
||||
@@ -40,21 +40,23 @@ lerobot-record \
|
||||
Example recording with bimanual so100:
|
||||
```shell
|
||||
lerobot-record \
|
||||
--robot.type=bi_so100_follower \
|
||||
--robot.left_arm_port=/dev/tty.usbmodem5A460851411 \
|
||||
--robot.right_arm_port=/dev/tty.usbmodem5A460812391 \
|
||||
--robot.type=bi_so_follower \
|
||||
--robot.left_arm_config.port=/dev/tty.usbmodem5A460822851 \
|
||||
--robot.right_arm_config.port=/dev/tty.usbmodem5A460814411 \
|
||||
--robot.id=bimanual_follower \
|
||||
--robot.cameras='{
|
||||
left: {"type": "opencv", "index_or_path": 0, "width": 640, "height": 480, "fps": 30},
|
||||
top: {"type": "opencv", "index_or_path": 1, "width": 640, "height": 480, "fps": 30},
|
||||
right: {"type": "opencv", "index_or_path": 2, "width": 640, "height": 480, "fps": 30}
|
||||
--robot.left_arm_config.cameras='{
|
||||
wrist: {"type": "opencv", "index_or_path": 1, "width": 640, "height": 480, "fps": 30},
|
||||
top: {"type": "opencv", "index_or_path": 3, "width": 640, "height": 480, "fps": 30},
|
||||
}' --robot.right_arm_config.cameras='{
|
||||
wrist: {"type": "opencv", "index_or_path": 2, "width": 640, "height": 480, "fps": 30},
|
||||
front: {"type": "opencv", "index_or_path": 4, "width": 640, "height": 480, "fps": 30},
|
||||
}' \
|
||||
--teleop.type=bi_so100_leader \
|
||||
--teleop.left_arm_port=/dev/tty.usbmodem5A460828611 \
|
||||
--teleop.right_arm_port=/dev/tty.usbmodem5A460826981 \
|
||||
--teleop.type=bi_so_leader \
|
||||
--teleop.left_arm_config.port=/dev/tty.usbmodem5A460852721 \
|
||||
--teleop.right_arm_config.port=/dev/tty.usbmodem5A460819811 \
|
||||
--teleop.id=bimanual_leader \
|
||||
--display_data=true \
|
||||
--dataset.repo_id=${HF_USER}/bimanual-so100-handover-cube \
|
||||
--dataset.repo_id=${HF_USER}/bimanual-so-handover-cube \
|
||||
--dataset.num_episodes=25 \
|
||||
--dataset.single_task="Grab and handover the red cube to the other arm"
|
||||
```
|
||||
@@ -94,7 +96,7 @@ from lerobot.processor.rename_processor import rename_stats
|
||||
from lerobot.robots import ( # noqa: F401
|
||||
Robot,
|
||||
RobotConfig,
|
||||
bi_so100_follower,
|
||||
bi_so_follower,
|
||||
earthrover_mini_plus,
|
||||
hope_jr,
|
||||
koch_follower,
|
||||
@@ -105,7 +107,7 @@ from lerobot.robots import ( # noqa: F401
|
||||
from lerobot.teleoperators import ( # noqa: F401
|
||||
Teleoperator,
|
||||
TeleoperatorConfig,
|
||||
bi_so100_leader,
|
||||
bi_so_leader,
|
||||
homunculus,
|
||||
koch_leader,
|
||||
make_teleoperator_from_config,
|
||||
|
||||
@@ -29,7 +29,7 @@ lerobot-replay \
|
||||
Example replay with bimanual so100:
|
||||
```shell
|
||||
lerobot-replay \
|
||||
--robot.type=bi_so100_follower \
|
||||
--robot.type=bi_so_follower \
|
||||
--robot.left_arm_port=/dev/tty.usbmodem5A460851411 \
|
||||
--robot.right_arm_port=/dev/tty.usbmodem5A460812391 \
|
||||
--robot.id=bimanual_follower \
|
||||
@@ -53,7 +53,7 @@ from lerobot.processor import (
|
||||
from lerobot.robots import ( # noqa: F401
|
||||
Robot,
|
||||
RobotConfig,
|
||||
bi_so100_follower,
|
||||
bi_so_follower,
|
||||
earthrover_mini_plus,
|
||||
hope_jr,
|
||||
koch_follower,
|
||||
|
||||
@@ -30,6 +30,7 @@ import draccus
|
||||
|
||||
from lerobot.robots import ( # noqa: F401
|
||||
RobotConfig,
|
||||
bi_so_follower,
|
||||
koch_follower,
|
||||
lekiwi,
|
||||
make_robot_from_config,
|
||||
@@ -38,6 +39,7 @@ from lerobot.robots import ( # noqa: F401
|
||||
)
|
||||
from lerobot.teleoperators import ( # noqa: F401
|
||||
TeleoperatorConfig,
|
||||
bi_so_leader,
|
||||
koch_leader,
|
||||
make_teleoperator_from_config,
|
||||
omx_leader,
|
||||
|
||||
@@ -33,18 +33,18 @@ Example teleoperation with bimanual so100:
|
||||
|
||||
```shell
|
||||
lerobot-teleoperate \
|
||||
--robot.type=bi_so100_follower \
|
||||
--robot.left_arm_port=/dev/tty.usbmodem5A460851411 \
|
||||
--robot.right_arm_port=/dev/tty.usbmodem5A460812391 \
|
||||
--robot.type=bi_so_follower \
|
||||
--robot.left_arm_config.port=/dev/tty.usbmodem5A460822851 \
|
||||
--robot.right_arm_config.port=/dev/tty.usbmodem5A460814411 \
|
||||
--robot.id=bimanual_follower \
|
||||
--robot.cameras='{
|
||||
left: {"type": "opencv", "index_or_path": 0, "width": 1920, "height": 1080, "fps": 30},
|
||||
top: {"type": "opencv", "index_or_path": 1, "width": 1920, "height": 1080, "fps": 30},
|
||||
right: {"type": "opencv", "index_or_path": 2, "width": 1920, "height": 1080, "fps": 30}
|
||||
--robot.left_arm_config.cameras='{
|
||||
wrist: {"type": "opencv", "index_or_path": 1, "width": 640, "height": 480, "fps": 30},
|
||||
}' --robot.right_arm_config.cameras='{
|
||||
wrist: {"type": "opencv", "index_or_path": 2, "width": 640, "height": 480, "fps": 30},
|
||||
}' \
|
||||
--teleop.type=bi_so100_leader \
|
||||
--teleop.left_arm_port=/dev/tty.usbmodem5A460828611 \
|
||||
--teleop.right_arm_port=/dev/tty.usbmodem5A460826981 \
|
||||
--teleop.type=bi_so_leader \
|
||||
--teleop.left_arm_config.port=/dev/tty.usbmodem5A460852721 \
|
||||
--teleop.right_arm_config.port=/dev/tty.usbmodem5A460819811 \
|
||||
--teleop.id=bimanual_leader \
|
||||
--display_data=true
|
||||
```
|
||||
@@ -70,7 +70,7 @@ from lerobot.processor import (
|
||||
from lerobot.robots import ( # noqa: F401
|
||||
Robot,
|
||||
RobotConfig,
|
||||
bi_so100_follower,
|
||||
bi_so_follower,
|
||||
earthrover_mini_plus,
|
||||
hope_jr,
|
||||
koch_follower,
|
||||
@@ -81,7 +81,7 @@ from lerobot.robots import ( # noqa: F401
|
||||
from lerobot.teleoperators import ( # noqa: F401
|
||||
Teleoperator,
|
||||
TeleoperatorConfig,
|
||||
bi_so100_leader,
|
||||
bi_so_leader,
|
||||
gamepad,
|
||||
homunculus,
|
||||
keyboard,
|
||||
|
||||
@@ -259,7 +259,14 @@ def train(cfg: TrainPipelineConfig, accelerator: Accelerator | None = None):
|
||||
from accelerate.utils import DistributedDataParallelKwargs
|
||||
|
||||
ddp_kwargs = DistributedDataParallelKwargs(find_unused_parameters=True)
|
||||
accelerator = Accelerator(step_scheduler_with_optimizer=False, kwargs_handlers=[ddp_kwargs])
|
||||
# Accelerate auto-detects the device based on the available hardware and ignores the policy.device setting.
|
||||
# Force the device to be CPU when policy.device is set to CPU.
|
||||
force_cpu = cfg.policy.device == "cpu"
|
||||
accelerator = Accelerator(
|
||||
step_scheduler_with_optimizer=False,
|
||||
kwargs_handlers=[ddp_kwargs],
|
||||
cpu=force_cpu,
|
||||
)
|
||||
|
||||
init_logging(accelerator=accelerator)
|
||||
|
||||
|
||||
+33
@@ -1,3 +1,16 @@
|
||||
# Copyright 2026 The HuggingFace Inc. team. All rights reserved.
|
||||
#
|
||||
# Licensed under the Apache License, Version 2.0 (the "License");
|
||||
# you may not use this file except in compliance with the License.
|
||||
# You may obtain a copy of the License at
|
||||
#
|
||||
# http://www.apache.org/licenses/LICENSE-2.0
|
||||
#
|
||||
# Unless required by applicable law or agreed to in writing, software
|
||||
# distributed under the License is distributed on an "AS IS" BASIS,
|
||||
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
# See the License for the specific language governing permissions and
|
||||
# limitations under the License.
|
||||
"""Train FAST tokenizer for action encoding.
|
||||
|
||||
This script:
|
||||
@@ -6,6 +19,26 @@ This script:
|
||||
3. Trains FAST tokenizer on specified action dimensions
|
||||
4. Saves tokenizer to assets directory
|
||||
5. Reports compression statistics
|
||||
|
||||
Example:
|
||||
|
||||
```shell
|
||||
lerobot-train-tokenizer \
|
||||
--repo_id=user/dataset_name \
|
||||
--action_horizon=10 \
|
||||
--max_episodes=100 \
|
||||
--sample_fraction=0.1 \
|
||||
--encoded_dims="0:6" \
|
||||
--delta_dims="0,1,2,3,4,5" \
|
||||
--use_delta_transform=true \
|
||||
--state_key="observation.state" \
|
||||
--normalization_mode="QUANTILES" \
|
||||
--vocab_size=1024 \
|
||||
--scale=10.0 \
|
||||
--output_dir="./fast_tokenizer_dataset_name" \
|
||||
--push_to_hub=true \
|
||||
--hub_repo_id="user/fast_tokenizer_dataset_name" \
|
||||
--hub_private=false
|
||||
"""
|
||||
|
||||
import json
|
||||
+2
-3
@@ -1,6 +1,6 @@
|
||||
#!/usr/bin/env python
|
||||
|
||||
# Copyright 2025 The HuggingFace Inc. team. All rights reserved.
|
||||
# Copyright 2026 The HuggingFace Inc. team. All rights reserved.
|
||||
#
|
||||
# Licensed under the Apache License, Version 2.0 (the "License");
|
||||
# you may not use this file except in compliance with the License.
|
||||
@@ -14,5 +14,4 @@
|
||||
# See the License for the specific language governing permissions and
|
||||
# limitations under the License.
|
||||
|
||||
from .bi_so100_follower import BiSO100Follower
|
||||
from .config_bi_so100_follower import BiSO100FollowerConfig
|
||||
from .bi_so_leader import BiSOLeader, BiSOLeaderConfig
|
||||
+22
-29
@@ -17,46 +17,50 @@
|
||||
import logging
|
||||
from functools import cached_property
|
||||
|
||||
from lerobot.teleoperators.so_leader import SO100Leader, SO100LeaderConfig
|
||||
from lerobot.teleoperators.so_leader import SOLeaderTeleopConfig
|
||||
|
||||
from ..so_leader import SOLeader
|
||||
from ..teleoperator import Teleoperator
|
||||
from .config_bi_so100_leader import BiSO100LeaderConfig
|
||||
from .config_bi_so_leader import BiSOLeaderConfig
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
|
||||
class BiSO100Leader(Teleoperator):
|
||||
class BiSOLeader(Teleoperator):
|
||||
"""
|
||||
[Bimanual SO-100 Leader Arms](https://github.com/TheRobotStudio/SO-ARM100) designed by TheRobotStudio
|
||||
This bimanual leader arm can also be easily adapted to use SO-101 leader arms, just replace the SO100Leader class with SO101Leader and SO100LeaderConfig with SO101LeaderConfig.
|
||||
[Bimanual SO Leader Arms](https://github.com/TheRobotStudio/SO-ARM100) designed by TheRobotStudio
|
||||
"""
|
||||
|
||||
config_class = BiSO100LeaderConfig
|
||||
name = "bi_so100_leader"
|
||||
config_class = BiSOLeaderConfig
|
||||
name = "bi_so_leader"
|
||||
|
||||
def __init__(self, config: BiSO100LeaderConfig):
|
||||
def __init__(self, config: BiSOLeaderConfig):
|
||||
super().__init__(config)
|
||||
self.config = config
|
||||
|
||||
left_arm_config = SO100LeaderConfig(
|
||||
left_arm_config = SOLeaderTeleopConfig(
|
||||
id=f"{config.id}_left" if config.id else None,
|
||||
calibration_dir=config.calibration_dir,
|
||||
port=config.left_arm_port,
|
||||
port=config.left_arm_config.port,
|
||||
)
|
||||
|
||||
right_arm_config = SO100LeaderConfig(
|
||||
right_arm_config = SOLeaderTeleopConfig(
|
||||
id=f"{config.id}_right" if config.id else None,
|
||||
calibration_dir=config.calibration_dir,
|
||||
port=config.right_arm_port,
|
||||
port=config.right_arm_config.port,
|
||||
)
|
||||
|
||||
self.left_arm = SO100Leader(left_arm_config)
|
||||
self.right_arm = SO100Leader(right_arm_config)
|
||||
self.left_arm = SOLeader(left_arm_config)
|
||||
self.right_arm = SOLeader(right_arm_config)
|
||||
|
||||
@cached_property
|
||||
def action_features(self) -> dict[str, type]:
|
||||
return {f"left_{motor}.pos": float for motor in self.left_arm.bus.motors} | {
|
||||
f"right_{motor}.pos": float for motor in self.right_arm.bus.motors
|
||||
left_arm_features = self.left_arm.action_features
|
||||
right_arm_features = self.right_arm.action_features
|
||||
|
||||
return {
|
||||
**{f"left_{k}": v for k, v in left_arm_features.items()},
|
||||
**{f"right_{k}": v for k, v in right_arm_features.items()},
|
||||
}
|
||||
|
||||
@cached_property
|
||||
@@ -101,19 +105,8 @@ class BiSO100Leader(Teleoperator):
|
||||
return action_dict
|
||||
|
||||
def send_feedback(self, feedback: dict[str, float]) -> None:
|
||||
# Remove "left_" prefix
|
||||
left_feedback = {
|
||||
key.removeprefix("left_"): value for key, value in feedback.items() if key.startswith("left_")
|
||||
}
|
||||
# Remove "right_" prefix
|
||||
right_feedback = {
|
||||
key.removeprefix("right_"): value for key, value in feedback.items() if key.startswith("right_")
|
||||
}
|
||||
|
||||
if left_feedback:
|
||||
self.left_arm.send_feedback(left_feedback)
|
||||
if right_feedback:
|
||||
self.right_arm.send_feedback(right_feedback)
|
||||
# TODO: Implement force feedback
|
||||
raise NotImplementedError
|
||||
|
||||
def disconnect(self) -> None:
|
||||
self.left_arm.disconnect()
|
||||
+8
-4
@@ -16,11 +16,15 @@
|
||||
|
||||
from dataclasses import dataclass
|
||||
|
||||
from lerobot.teleoperators.so_leader import SOLeaderConfig
|
||||
|
||||
from ..config import TeleoperatorConfig
|
||||
|
||||
|
||||
@TeleoperatorConfig.register_subclass("bi_so100_leader")
|
||||
@TeleoperatorConfig.register_subclass("bi_so_leader")
|
||||
@dataclass
|
||||
class BiSO100LeaderConfig(TeleoperatorConfig):
|
||||
left_arm_port: str
|
||||
right_arm_port: str
|
||||
class BiSOLeaderConfig(TeleoperatorConfig):
|
||||
"""Configuration class for Bi SO Leader teleoperators."""
|
||||
|
||||
left_arm_config: SOLeaderConfig
|
||||
right_arm_config: SOLeaderConfig
|
||||
@@ -14,9 +14,10 @@
|
||||
# See the License for the specific language governing permissions and
|
||||
# limitations under the License.
|
||||
|
||||
from .so100_leader.config_so100_leader import SO100LeaderConfig
|
||||
from .so100_leader.so100_leader import SO100Leader
|
||||
from .so101_leader.config_so101_leader import SO101LeaderConfig
|
||||
from .so101_leader.so101_leader import SO101Leader
|
||||
from .so_leader_base import SOLeaderBase
|
||||
from .so_leader_config_base import SOLeaderConfigBase
|
||||
from .config_so_leader import (
|
||||
SO100LeaderConfig,
|
||||
SO101LeaderConfig,
|
||||
SOLeaderConfig,
|
||||
SOLeaderTeleopConfig,
|
||||
)
|
||||
from .so_leader import SO100Leader, SO101Leader, SOLeader
|
||||
|
||||
+13
-1
@@ -15,12 +15,13 @@
|
||||
# limitations under the License.
|
||||
|
||||
from dataclasses import dataclass
|
||||
from typing import TypeAlias
|
||||
|
||||
from ..config import TeleoperatorConfig
|
||||
|
||||
|
||||
@dataclass
|
||||
class SOLeaderConfigBase(TeleoperatorConfig):
|
||||
class SOLeaderConfig:
|
||||
"""Base configuration class for SO Leader teleoperators."""
|
||||
|
||||
# Port to connect to the arm
|
||||
@@ -28,3 +29,14 @@ class SOLeaderConfigBase(TeleoperatorConfig):
|
||||
|
||||
# Whether to use degrees for angles
|
||||
use_degrees: bool = False
|
||||
|
||||
|
||||
@TeleoperatorConfig.register_subclass("so101_leader")
|
||||
@TeleoperatorConfig.register_subclass("so100_leader")
|
||||
@dataclass
|
||||
class SOLeaderTeleopConfig(TeleoperatorConfig, SOLeaderConfig):
|
||||
pass
|
||||
|
||||
|
||||
SO100LeaderConfig: TypeAlias = SOLeaderTeleopConfig
|
||||
SO101LeaderConfig: TypeAlias = SOLeaderTeleopConfig
|
||||
@@ -0,0 +1 @@
|
||||
../../../../docs/source/so100.mdx
|
||||
@@ -1,26 +0,0 @@
|
||||
#!/usr/bin/env python
|
||||
|
||||
# Copyright 2024 The HuggingFace Inc. team. All rights reserved.
|
||||
#
|
||||
# Licensed under the Apache License, Version 2.0 (the "License");
|
||||
# you may not use this file except in compliance with the License.
|
||||
# You may obtain a copy of the License at
|
||||
#
|
||||
# http://www.apache.org/licenses/LICENSE-2.0
|
||||
#
|
||||
# Unless required by applicable law or agreed to in writing, software
|
||||
# distributed under the License is distributed on an "AS IS" BASIS,
|
||||
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
# See the License for the specific language governing permissions and
|
||||
# limitations under the License.
|
||||
|
||||
from dataclasses import dataclass
|
||||
|
||||
from ...config import TeleoperatorConfig
|
||||
from ..so_leader_config_base import SOLeaderConfigBase
|
||||
|
||||
|
||||
@TeleoperatorConfig.register_subclass("so100_leader")
|
||||
@dataclass
|
||||
class SO100LeaderConfig(SOLeaderConfigBase):
|
||||
pass
|
||||
@@ -1 +0,0 @@
|
||||
../../../../../docs/source/so100.mdx
|
||||
@@ -1,27 +0,0 @@
|
||||
# !/usr/bin/env python
|
||||
|
||||
# Copyright 2026 The HuggingFace Inc. team. All rights reserved.
|
||||
#
|
||||
# Licensed under the Apache License, Version 2.0 (the "License");
|
||||
# you may not use this file except in compliance with the License.
|
||||
# You may obtain a copy of the License at
|
||||
#
|
||||
# http://www.apache.org/licenses/LICENSE-2.0
|
||||
#
|
||||
# Unless required by applicable law or agreed to in writing, software
|
||||
# distributed under the License is distributed on an "AS IS" BASIS,
|
||||
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
# See the License for the specific language governing permissions and
|
||||
# limitations under the License.
|
||||
|
||||
from ..so_leader_base import SOLeaderBase
|
||||
from .config_so100_leader import SO100LeaderConfig
|
||||
|
||||
|
||||
class SO100Leader(SOLeaderBase):
|
||||
"""
|
||||
SO-101 leader robot class. [SO-101 Leader Arm](https://github.com/TheRobotStudio/SO-ARM100) designed by TheRobotStudio
|
||||
"""
|
||||
|
||||
config_class = SO100LeaderConfig
|
||||
name = "so100_leader"
|
||||
@@ -0,0 +1 @@
|
||||
../../../../docs/source/so101.mdx
|
||||
@@ -1 +0,0 @@
|
||||
../../../../../docs/source/so101.mdx
|
||||
@@ -1,27 +0,0 @@
|
||||
# !/usr/bin/env python
|
||||
|
||||
# Copyright 2026 The HuggingFace Inc. team. All rights reserved.
|
||||
#
|
||||
# Licensed under the Apache License, Version 2.0 (the "License");
|
||||
# you may not use this file except in compliance with the License.
|
||||
# You may obtain a copy of the License at
|
||||
#
|
||||
# http://www.apache.org/licenses/LICENSE-2.0
|
||||
#
|
||||
# Unless required by applicable law or agreed to in writing, software
|
||||
# distributed under the License is distributed on an "AS IS" BASIS,
|
||||
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
||||
# See the License for the specific language governing permissions and
|
||||
# limitations under the License.
|
||||
|
||||
from ..so_leader_base import SOLeaderBase
|
||||
from .config_so101_leader import SO101LeaderConfig
|
||||
|
||||
|
||||
class SO101Leader(SOLeaderBase):
|
||||
"""
|
||||
SO-101 leader robot class. [SO-101 Leader Arm](https://github.com/TheRobotStudio/SO-ARM100) designed by TheRobotStudio
|
||||
"""
|
||||
|
||||
config_class = SO101LeaderConfig
|
||||
name = "so101_leader"
|
||||
+11
-3
@@ -16,6 +16,7 @@
|
||||
|
||||
import logging
|
||||
import time
|
||||
from typing import TypeAlias
|
||||
|
||||
from lerobot.motors import Motor, MotorCalibration, MotorNormMode
|
||||
from lerobot.motors.feetech import (
|
||||
@@ -25,15 +26,18 @@ from lerobot.motors.feetech import (
|
||||
from lerobot.utils.errors import DeviceAlreadyConnectedError, DeviceNotConnectedError
|
||||
|
||||
from ..teleoperator import Teleoperator
|
||||
from .so_leader_config_base import SOLeaderConfigBase
|
||||
from .config_so_leader import SOLeaderTeleopConfig
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
|
||||
class SOLeaderBase(Teleoperator):
|
||||
class SOLeader(Teleoperator):
|
||||
"""Generic SO leader base for SO-100/101/10X teleoperators."""
|
||||
|
||||
def __init__(self, config: SOLeaderConfigBase):
|
||||
config_class = SOLeaderTeleopConfig
|
||||
name = "so_leader"
|
||||
|
||||
def __init__(self, config: SOLeaderTeleopConfig):
|
||||
super().__init__(config)
|
||||
self.config = config
|
||||
norm_mode_body = MotorNormMode.DEGREES if config.use_degrees else MotorNormMode.RANGE_M100_100
|
||||
@@ -153,3 +157,7 @@ class SOLeaderBase(Teleoperator):
|
||||
|
||||
self.bus.disconnect()
|
||||
logger.info(f"{self} disconnected.")
|
||||
|
||||
|
||||
SO100Leader: TypeAlias = SOLeader
|
||||
SO101Leader: TypeAlias = SOLeader
|
||||
@@ -73,10 +73,10 @@ def make_teleoperator_from_config(config: TeleoperatorConfig) -> Teleoperator:
|
||||
from .homunculus import HomunculusArm
|
||||
|
||||
return HomunculusArm(config)
|
||||
elif config.type == "bi_so100_leader":
|
||||
from .bi_so100_leader import BiSO100Leader
|
||||
elif config.type == "bi_so_leader":
|
||||
from .bi_so_leader import BiSOLeader
|
||||
|
||||
return BiSO100Leader(config)
|
||||
return BiSOLeader(config)
|
||||
elif config.type == "reachy2_teleoperator":
|
||||
from .reachy2_teleoperator import Reachy2Teleoperator
|
||||
|
||||
|
||||
@@ -66,7 +66,7 @@ def follower():
|
||||
|
||||
with (
|
||||
patch(
|
||||
"lerobot.robots.so_follower.so_follower_base.FeetechMotorsBus",
|
||||
"lerobot.robots.so_follower.so_follower.FeetechMotorsBus",
|
||||
side_effect=_bus_side_effect,
|
||||
),
|
||||
patch.object(SO100Follower, "configure", lambda self: None),
|
||||
|
||||
Reference in New Issue
Block a user