Files
lerobot/docs/source/reachy2.mdx
Steven Palma e96339a3b4 feat(dataset): add streaming video encoding + HW encoder support (#2974)
* feat(dataset): init stream encoding

* feat(dataset): use threads to fix frame pickle latency

* refactor(dataset): remove HW encoded related changes

* add lp (#2977)

* feat(dataset): add Hw encoding + log drop frames (#2978)

* chore(docs): add streaming video encoding guide

* fix(dataset): style docs + testing

* chore(docs): simplify sttreaming video encoding guide

* chore(dataset): add commands + streaming encoding default false + print note if false + queue default is now 30

* chore(docs): add verification note advice

* chore(dataset): adjusting defaults & docs for streaming encoding

* docs(scripts): improve docstrings

* test(dataset): polish streaming encoding tests

* chore(dataset): move FYI log related to streaming

* chore(dataset): add arg vcodec to suggestions

* refactor(dataset): better handling for auto and available vcodec

* chore(dataset): change log level

* docs(dataset): add note related to training performance vcodec

* docs(dataset): add more notes to streaming encoding

---------

Co-authored-by: Caroline Pascal <caroline8.pascal@gmail.com>
Co-authored-by: Pepijn <pepijn@huggingface.co>
2026-02-23 13:57:43 +01:00

310 lines
11 KiB
Plaintext
Raw Permalink Blame History

This file contains ambiguous Unicode characters
This file contains Unicode characters that might be confused with other characters. If you think that this is intentional, you can safely ignore this warning. Use the Escape button to reveal them.
# Reachy 2
Reachy 2 is an open-source humanoid robot made by Pollen Robotics, specifically designed for the development of embodied AI and real-world applications.
Check out [Pollen Robotics website](https://www.pollen-robotics.com/reachy/), or access [Reachy 2 documentation](https://docs.pollen-robotics.com/) for more information on the platform!
## Teleoperate Reachy 2
Currently, there are two ways to teleoperate Reachy 2:
- Pollen Robotics VR teleoperation (not included in LeRobot).
- Robot-to-robot teleoperation (use one Reachy 2 to control another).
## Reachy 2 Simulation
**(Linux only)** You can run Reachy 2 in simulation (Gazebo or MuJoCo) using the provided [Docker image](https://hub.docker.com/r/pollenrobotics/reachy2_core).
1. Install [Docker Engine](https://docs.docker.com/engine/).
2. Run (for MuJoCo):
```
docker run --rm -it \
--name reachy \
--privileged \
--network host \
--ipc host \
--device-cgroup-rule='c 189:* rwm' \
--group-add audio \
-e ROS_DOMAIN_ID="$ROS_DOMAIN_ID" \
-e DISPLAY="$DISPLAY" \
-e RCUTILS_CONSOLE_OUTPUT_FORMAT="[{severity}]: {message}" \
-e REACHY2_CORE_SERVICE_FAKE="${REACHY2_CORE_SERVICE_FAKE:-true}" \
-v /dev:/dev \
-v "$HOME/.reachy_config":/home/reachy/.reachy_config_override \
-v "$HOME/.reachy.log":/home/reachy/.ros/log \
-v /usr/lib/x86_64-linux-gnu:/opt/host-libs \
--entrypoint /package/launch.sh \
pollenrobotics/reachy2_core:1.7.5.9_deploy \
start_rviz:=true start_sdk_server:=true mujoco:=true
```
> [!NOTE]
> If MuJoCo runs slowly (low simulation frequency), append `-e LD_LIBRARY_PATH="/opt/host-libs:$LD_LIBRARY_PATH" \` to the previous command to improve performance:
>
> ```
> docker run --rm -it \
> --name reachy \
> --privileged \
> --network host \
> --ipc host \
> --device-cgroup-rule='c 189:* rwm' \
> --group-add audio \
> -e ROS_DOMAIN_ID="$ROS_DOMAIN_ID" \
> -e DISPLAY="$DISPLAY" \
> -e RCUTILS_CONSOLE_OUTPUT_FORMAT="[{severity}]: {message}" \
> -e REACHY2_CORE_SERVICE_FAKE="${REACHY2_CORE_SERVICE_FAKE:-true}" \
> -e LD_LIBRARY_PATH="/opt/host-libs:$LD_LIBRARY_PATH" \
> -v /dev:/dev \
> -v "$HOME/.reachy_config":/home/reachy/.reachy_config_override \
> -v "$HOME/.reachy.log":/home/reachy/.ros/log \
> -v /usr/lib/x86_64-linux-gnu:/opt/host-libs \
> --entrypoint /package/launch.sh \
> pollenrobotics/reachy2_core:1.7.5.9_deploy \
> start_rviz:=true start_sdk_server:=true mujoco:=true
> ```
## Setup
### Prerequisites
- On your robot, check the **service images** meet the minimum versions:
- **reachy2-core >= 1.7.5.2**
- **webrtc >= 2.0.1.1**
Then, if you want to use VR teleoperation:
- Install the [Reachy 2 teleoperation application](https://docs.pollen-robotics.com/teleoperation/teleoperation-introduction/discover-teleoperation/).
Use version **>=v1.2.0**
We recommend using two computers: one for teleoperation (Windows required) and another for recording with LeRobot.
### Install LeRobot
Follow the [installation instructions](https://github.com/huggingface/lerobot#installation) to install LeRobot.
Install LeRobot with Reachy 2 dependencies:
```bash
pip install -e ".[reachy2]"
```
### (Optional but recommended) Install pollen_data_acquisition_server
How you manage Reachy 2 recording sessions is up to you, but the **easiest** way is to use this server so you can control sessions directly from the VR teleoperation app.
> **Note:** Currently, only the VR teleoperation application works as a client for this server, so this step primarily targets teleoperation. Youre free to develop custom clients to manage sessions to your needs.
In your LeRobot environment, install the server from source:
```bash
git clone https://github.com/pollen-robotics/pollen_data_acquisition_server.git
cd pollen_data_acquisition_server
pip install -e .
```
Find the [pollen_data_acquisition_server documentation here](https://github.com/pollen-robotics/pollen_data_acquisition_server).
## Step 1: Recording
### Get Reachy 2 IP address
Before starting teleoperation and data recording, find the [robot's IP address](https://docs.pollen-robotics.com/getting-started/setup-reachy2/connect-reachy2/).
We strongly recommend connecting all devices (PC and robot) via **Ethernet**.
### Launch recording
There are two ways to manage recording sessions when using the Reachy 2 VR teleoperation application:
- **Using the data acquisition server (recommended for VR teleop)**: The VR app orchestrates sessions (via the server it tells LeRobot when to create datasets, start/stop episodes) while also controlling the robots motions.
- **Using LeRobots record script**: LeRobot owns session control and decides when to start/stop episodes. If you also use the VR teleop app, its only for motion control.
### Option 1: Using Pollen data acquisition server (recommended for VR teleop)
Make sure you have installed pollen_data_acquisition_server, as explained in the Setup section.
Launch the data acquisition server to be able to manage your session directly from the teleoperation application:
```bash
python -m pollen_data_acquisition_server.server
```
Then get into the teleoperation application and choose "Data acquisition session".
You can finally setup your session by following the screens displayed.
> Even without the VR app, you can use the `pollen_data_acquisition_server` with your own client implementation.
### Option 2: Using lerobot.record
Reachy 2 is fully supported by LeRobots recording features.
If you choose this option but still want to use the VR teleoperation application, select "Standard session" in the app.
**Example: start a recording without the mobile base:**
First add reachy2 and reachy2_teleoperator to the imports of the record script. Then you can use the following command:
```bash
lerobot-record \
--robot.type=reachy2 \
--robot.ip_address=192.168.0.200 \
--robot.id=r2-0000 \
--robot.use_external_commands=true \
--robot.with_mobile_base=false \
--teleop.type=reachy2_teleoperator \
--teleop.ip_address=192.168.0.200 \
--teleop.with_mobile_base=false \
--robot.with_torso_camera=true \
--dataset.repo_id=pollen_robotics/record_test \
--dataset.single_task="Reachy 2 recording test" \
--dataset.num_episodes=1 \
--dataset.episode_time_s=5 \
--dataset.fps=15 \
--dataset.push_to_hub=true \
--dataset.private=true \
--dataset.streaming_encoding=true \
--dataset.encoder_threads=2 \
# --dataset.vcodec=auto \
--display_data=true
```
#### Specific Options
**Extended setup overview (all options included):**
```bash
lerobot-record \
--robot.type=reachy2 \
--robot.ip_address=192.168.0.200 \
--robot.use_external_commands=true \
--robot.with_mobile_base=true \
--robot.with_l_arm=true \
--robot.with_r_arm=true \
--robot.with_neck=true \
--robot.with_antennas=true \
--robot.with_left_teleop_camera=true \
--robot.with_right_teleop_camera=true \
--robot.with_torso_camera=false \
--robot.camera_width=640 \
--robot.camera_height=480 \
--robot.disable_torque_on_disconnect=false \
--robot.max_relative_target=5.0 \
--teleop.type=reachy2_teleoperator \
--teleop.ip_address=192.168.0.200 \
--teleop.use_present_position=false \
--teleop.with_mobile_base=false \
--teleop.with_l_arm=true \
--teleop.with_r_arm=true \
--teleop.with_neck=true \
--teleop.with_antennas=true \
--dataset.repo_id=pollen_robotics/record_test \
--dataset.single_task="Reachy 2 recording test" \
--dataset.num_episodes=1 \
--dataset.episode_time_s=5 \
--dataset.fps=15 \
--dataset.push_to_hub=true \
--dataset.private=true \
--dataset.streaming_encoding=true \
--dataset.encoder_threads=2 \
# --dataset.vcodec=auto \
--display_data=true
```
##### `--robot.use_external_commands`
Determine whether LeRobot robot.send_action() sends commands to the robot.
**Must** be set to false while using the VR teleoperation application, as the app already sends commands.
##### `--teleop.use_present_position`
Determine whether the teleoperator reads the goal or present position of the robot.
Must be set to true if a compliant Reachy 2 is used to control another one.
##### Use the relevant parts
From our initial tests, recording **all** joints when only some are moving can reduce model quality with certain policies.
To avoid this, you can exclude specific parts from recording and replay using:
```bash
--robot.with_<part>=false
```
with `<part>` being one of : `mobile_base`, `l_arm`, `r_arm", `neck`, `antennas`.
It determine whether the corresponding part is recorded in the observations. True if not set.
By default, **all parts are recorded**.
The same per-part mechanism is available in `reachy2_teleoperator` as well.
```bash
--teleop.with\_<part>
```
with `<part>` being one of : `mobile_base`, `l_arm`, `r_arm", `neck`, `antennas`.
Determine whether the corresponding part is recorded in the actions. True if not set.
> **Important:** In a given session, the **enabled parts must match** on both the robot and the teleoperator.
> For example, if the robot runs with `--robot.with_mobile_base=false`, the teleoperator must disable the same part `--teleoperator.with_mobile_base=false`.
##### Use the relevant cameras
You can do the same for **cameras**. Enable or disable each camera with default parameters using:
```bash
--robot.with_left_teleop_camera=<true|false> \
--robot.with_right_teleop_camera=<true|false> \
--robot.with_torso_camera=<true|false>
```
By default, no camera is recorded, all camera arguments are set to `false`.
If you want to, you can use custom `width` and `height` parameters for Reachy 2's cameras using the `--robot.camera_width` & `--robot.camera_height` argument:
```bash
--robot.camera_width=1920 \
--robot.camera_height=1080
```
This will change the resolution of all 3 default robot cameras (enabled by the above bool arguments).
If you want, you can add additional cameras other than the ones in the robot as usual with:
```bash
--robot.cameras="{ extra: {type: opencv, index_or_path: 42, width: 640, height: 480, fps: 30}}" \
```
## Step 2: Replay
Make sure the robot is configured with the same parts as the dataset:
```bash
lerobot-replay \
--robot.type=reachy2 \
--robot.ip_address=192.168.0.200 \
--robot.use_external_commands=false \
--robot.with_mobile_base=false \
--dataset.repo_id=pollen_robotics/record_test \
--dataset.episode=0
```
## Step 3: Train
```bash
lerobot-train \
--dataset.repo_id=pollen_robotics/record_test \
--policy.type=act \
--output_dir=outputs/train/reachy2_test \
--job_name=reachy2 \
--policy.device=mps \
--wandb.enable=true \
--policy.repo_id=pollen_robotics/record_test_policy
```
## Step 4: Evaluate
```bash
lerobot-eval \
--robot.type=reachy2 \
--robot.ip_address=192.168.0.200 \
--dataset.repo_id=pollen_robotics/eval_record_test \
--dataset.single_task="Evaluate reachy2 policy" \
--dataset.num_episodes=10 \
--policy.path=outputs/train/reachy2_test/checkpoints/last/pretrained_model
```