A secure, universal communication bridge that enables AI agents to control ROS1 and ROS2 robotic systems with ease.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install agent-ros-bridge
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 agent-ros-bridge 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 Agent ROS Bridge?
Agent ROS Bridge is a robust middleware designed to facilitate the interaction between AI agents and physical robotic hardware. It acts as a universal translator between modern agentic frameworks and the Robot Operating System (ROS), supporting both legacy ROS1 Noetic and modern ROS2 Humble/Jazzy environments. This skill is built with a security-first philosophy, ensuring that Openclaw Skills can command embodied intelligence systems without compromising safety or data integrity.
By providing standardized interfaces through WebSockets, MQTT, and gRPC, the bridge simplifies the complexities of robotic telemetry and actuation. Whether you are managing a single robotic arm or a diverse fleet of autonomous mobile robots, this tool provides the necessary infrastructure to bring Openclaw Skills into the physical realm.
Agent ROS Bridge Use Cases
- Controlling robotic manipulators like UR, xArm, and Franka via natural language or code agents.
- Orchestrating multi-robot fleet coordination for complex logistics tasks using Openclaw Skills.
- Monitoring real-time sensor data and telemetry through Prometheus and Grafana dashboards.
- Bridging communication between disparate ROS1 and ROS2 systems within a single environment.
- Rapid prototyping of embodied AI applications using isolated Docker simulations.
How Agent ROS Bridge Works
- The user initializes the bridge environment by setting a mandatory JWT_SECRET for secure authentication.
- Transports such as WebSockets or gRPC are registered within the bridge to handle incoming agent requests.
- The bridge connects to the local or networked ROS master/graph to discover available topics, services, and actions.
- AI agents authenticate using JWT tokens and send high-level commands to the bridge.
- The bridge translates these commands into ROS-native messages, executes the movement, and returns sensor feedback to the Openclaw Skills interface.
Agent ROS Bridge Setup
To get started with this skill, you must first ensure your environment is secure. Use the following commands to install and configure the bridge:
# Install the bridge via pip
pip install agent-ros-bridge
# Generate a required secure secret
export JWT_SECRET=$(openssl rand -base64 32)
# Launch the bridge with your specific configuration
agent-ros-bridge --config config/bridge.yaml
For users who prefer containerized environments for Openclaw Skills, Docker Compose is recommended:
cd examples/quickstart
docker-compose up
Agent ROS Bridge Data Schema & Taxonomy
The skill manages data through environment variables and structured YAML configurations to ensure seamless integration for Openclaw Skills.
| Component | Source | Description |
|---|---|---|
| JWT_SECRET | Environment Variable | Critical secret key required for all authentication loops. |
| BRIDGE_HOST | Environment Variable | The network address the bridge binds to (default: 127.0.0.1). |
| bridge.yaml | Configuration File | Defines the mapping between AI protocols and ROS topics. |
| Telemetry | Metrics Stream | Standardized Prometheus metrics for robot health and status. |
Agent ROS Bridge Advanced Features
- Simultaneous support for ROS1 and ROS2 message bridging in hybrid environments.
- Multi-protocol gateway supporting WebSocket, MQTT, and high-performance gRPC transports.
- Built-in drivers for professional robotic arms including UR, xArm, and Franka Research 3.
- Integrated security layer where JWT authentication is enforced at the kernel level.
- Fleet management capabilities for coordinating multiple robots through a single Openclaw Skills instance.
SKILL.md
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