ROS
Bridges large language models and AI agents with physical robots, translating natural language commands into ROS/ROS2 instructions without code changes.
About
The ROS Server facilitates seamless communication between AI agents, such as large language models, and physical robots operating on ROS or ROS2 frameworks. By leveraging the Model Context Protocol (MCP) and building upon `rosbridge`, it enables users to issue natural language commands that are directly translated into robot instructions. This eliminates the need for any code modifications on existing ROS setups, making it a fast and easy integration for various robotic applications across Linux, Windows, and macOS.
Key Features
- Cross-platform support for Linux, Windows, and macOS environments.
- Requires no modifications to existing ROS node code for integration.
- Seamlessly integrates with LLMs and AI systems for natural language robot control.
- Comprehensive ROS command support, including topics, services, and parameters.
- Universal compatibility with both ROS and ROS2 via `rosbridge`.
- 163 GitHub stars
Use Cases
- Integrating AI agents with existing ROS/ROS2 robotic stacks without requiring code changes.
- Controlling physical or simulated robots (e.g., mobile manipulators, turtlesim) using natural language commands from LLMs.
- Querying ROS system status and performing operations (publish, subscribe, service calls) through natural language interfaces.
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