Discover 5 MCPs built for ROS.
Bridges large language models and AI agents with physical robots, translating natural language commands into ROS/ROS2 instructions without code changes.
Enables natural language control of robots in ROS environments by interacting with topics, services, and actions.
Enables precise robotic movement control through linear and angular velocity manipulation.
Transforms natural language commands from large language models (LLMs) into ROS commands for robot control, enabling robots to perform complex tasks and adapt to various environments.
Enables AI assistants to monitor and control Robot Operating System (ROS) environments through a standardized Model Context Protocol (MCP) interface.
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