docs/source/reachy2.mdx

# 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
```

> 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. You’re 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 robot’s motions.
- **Using LeRobot’s record script**: LeRobot owns session control and decides when to start/stop episodes. If you also use the VR teleop app, it’s 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 LeRobot’s 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
python -m 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 \
    --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 \
    --display_data=true
```

#### Specific Options

**Extended setup overview (all options included):**

```bash
python -m 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.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 \
    --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:

````
--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.

````

--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**. By default, only the **teleoperation cameras** are recorded (both `left_teleop_camera` and `right_teleop_camera`). Enable or disable each camera with:

```

--robot.with_left_teleop_camera=<true|false>
--robot.with_right_teleop_camera=<true|false>
--robot.with_torso_camera=<true|false>

````


## Step 2: Replay

Make sure the robot is configured with the same parts as the dataset:

```bash
python -m 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
    --display_data=true
````

## Step 3: Train

```bash
python -m lerobot.scripts.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
python -m lerobot.record \
  --robot.type=reachy2 \
  --robot.ip_address=192.168.0.200 \
  --display_data=false \
  --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
```