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AI-powered robot control and monitoring via ROS
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Summary
This project enables bidirectional AI integration for robots by connecting Large Language Models (LLMs) like Claude, GPT, and Gemini with ROS/ROS2 environments. It allows natural language control and real-time robot monitoring without modifying existing robot source code, benefiting developers and researchers seeking advanced AI-robot interaction.
How It Works
The server acts as a bridge, leveraging rosbridge
to translate natural language commands from MCP-compatible LLMs into ROS/ROS2 commands. It subscribes to robot topics and services, providing LLMs with real-time sensor data and state information, facilitating comprehensive robot observation and control. This approach avoids direct robot code modification.
Quick Start & Requirements
Installation involves cloning the repository, installing uv
and rosbridge
, setting up an MCP-compatible LLM client (e.g., Claude Desktop), configuring the client, and running rosbridge
on the target robot. Prerequisites include a ROS1 or ROS2 environment and an MCP-enabled LLM. Further details are available in the installation guide and examples/tutorials.
Highlighted Details
rosbridge
integration.Maintenance & Community
The project actively welcomes community contributions, including bug fixes, documentation updates, new features, and examples. Contributing guidelines and issues tagged good first issue
are available to facilitate community involvement.
Licensing & Compatibility
Licensed under the Apache License 2.0, this project permits commercial use and integration with closed-source applications.
Limitations & Caveats
Upcoming features include support for ROS Actions and permission controls for enhanced functionality and security.
21 hours ago
Inactive