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Ankit-Paliwal

ROS & LLM Integration Bridge

ROS ROS2 Python License

Empowering robots with Large Language Models for seamless, bidirectional communication.[cite: 1]


✨ Why Choose This Bridge?

  • 🚫 Zero Modifications Required: Easily integrate the rosbridge node without altering your existing robot source code.[cite: 1]

  • 🔄 True Bidirectional Interaction: LLMs can both control the robot's actions and monitor its environment in real-time.[cite: 1]

  • 🧠 Comprehensive Context Awareness: Gain full access to publish/subscribe topics, service calls, action executions, sensor readings, and parameter tuning.[cite: 1]

  • 🔍 Intelligent Discovery: The system automatically guides the AI to understand available ROS topics, custom types, and services, ensuring flawless syntax execution.[cite: 1]

  • 🌐 Universal Client Support: Built on the open MCP standard, making it fully compatible with Claude, Gemini, ChatGPT, Cursor, and Codex CLI.[cite: 1]

  • Cross-Version Compatibility: Works flawlessly across ROS 1 and ROS 2 distributions (including Jazzy and Humble).[cite: 1]


Related MCP server: ROS2 MCP Server

🎥 Action Showcases

🏭 1. Industrial Robot Diagnostics

Connects AI agents to production robots using only technical manuals as a reference. The AI autonomously discovers custom topic syntaxes, executes diagnostic tests (like vacuum/gripper tests), identifies anomalies, and reports the root cause.[cite: 1]

🗣️ 2. Natural Language Mobile Navigation

Command your mobile robots with simple phrases like, "Grab a Coke from the fridge & go to the living room." The AI utilizes Nav2 (SLAM) for mapping/navigation and MoveIt for manipulation, operating entirely autonomously.[cite: 1]

🐕 3. Simulated Quadruped Control (NVIDIA Isaac Sim)

Interpret natural language commands to navigate and control quadruped robots directly within the NVIDIA Isaac Sim environment.[cite: 1]


🚀 Getting Started

To start integrating LLMs with your ROS setup, please refer to our Installation Guide.[cite: 1]

This tool is ready to be paired with any MCP-compatible client, including Claude Desktop, Gemini CLI, ChatGPT, and Cursor.[cite: 1]


🤝 How to Contribute

We encourage community contributions to make this project even better:

  • 🐛 Bug fixes and documentation improvements

  • ✨ New features (e.g., advanced permissions, action support)

  • 📖 Additional tutorials and real-world examples

Please review our Contributing Guidelines to get started.[cite: 1]


📜 Licensing

This software is released under the Apache License 2.0.[cite: 1]

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