A powerful interface for AI agents to monitor and control ROS and ROS2 robotic systems using rosbridge WebSocket communication.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install ros-skill
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install ros-skill using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is ROS Skill for Robotics Control?
This skill enables AI coding agents to interact directly with Robot Operating System (ROS and ROS2) environments. By leveraging the rosbridge WebSocket protocol, it provides a bridge between high-level agent logic and low-level robot hardware or simulations. Whether you are debugging node configurations, monitoring sensor data via topics, or executing complex movement sequences, this Openclaw Skills integration simplifies the robotics development lifecycle.
The tool is architected to work as a CLI-based intermediary, where the agent executes a Python script that communicates with a robot's rosbridge server. This allows for platform-agnostic control, meaning the agent can manage robots regardless of whether they are running ROS 1 or ROS 2, provided the bridge is active.
ROS Skill for Robotics Control Use Cases
- Monitoring real-time sensor data from robot topics like LIDAR, Odometry, or IMU feeds.
- Sending velocity commands to move mobile robots or manipulators with precise duration control.
- Calling ROS services to reset simulation environments, spawn new entities, or trigger specific robot behaviors.
- Managing ROS 2 parameters and action servers for sophisticated, long-running robotic tasks.
- Exploring active robot system architectures by listing nodes, services, and message types during development.
How ROS Skill for Robotics Control Works
- The AI agent initiates a connection test to the robot IP address and port (typically 9090) where rosbridge is running.
- The system detects the specific ROS version and distribution to ensure compatible command syntax.
- The agent queries system metadata to identify available topics, services, or action servers currently active on the robot.
- Commands are sent as JSON payloads through the ros_cli.py script, which translates them into WebSocket frames for the rosbridge server.
- The robot executes the instruction and returns a JSON-formatted response, which the agent parses to confirm success or handle errors.
ROS Skill for Robotics Control Setup
To begin using this skill within the Openclaw Skills ecosystem, first install the required Python dependency:
pip install websocket-client
Next, ensure the rosbridge server is installed and running on your target robot or simulation environment:
For ROS 1 users:
sudo apt install ros-${ROS_DISTRO}-rosbridge-server
roslaunch rosbridge_server rosbridge_websocket.launch
For ROS 2 users:
sudo apt install ros-${ROS_DISTRO}-rosbridge-server
ros2 launch rosbridge_server rosbridge_websocket_launch.xml
ROS Skill for Robotics Control Data Schema & Taxonomy
The skill utilizes a standardized JSON schema for all inputs and outputs, ensuring the AI agent can reliably process robot state data.
| Component | Structure Description |
|---|---|
| Commands | Script arguments passed to the Python CLI utility |
| Responses | Standardized JSON objects containing data or explicit error messages |
| Messages | ROS-native message fields mapped directly to JSON dictionaries |
| Sequences | Paired arrays of JSON message objects and duration values (in seconds) |
| Parameters | Node-specific key-value pairs (exclusive to ROS 2) |
ROS Skill for Robotics Control Advanced Features
- Multi-version compatibility supporting both legacy ROS 1 and modern ROS 2 distributions.
- Continuous publishing capabilities with configurable frequency (Hz) and duration for smooth motor control.
- Advanced topic subscription modes that can capture single samples or streams of data based on timeouts.
- Full support for ROS 2 Action Servers, allowing the agent to send goals, monitor feedback, and receive results.
- Dynamic parameter management to tune robot gains or configurations without restarting nodes.
SKILL.md
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