Control and monitor ROS/ROS2 robots via a rosbridge WebSocket CLI.
npx skills add https://github.com/lpigeon/ros-skill --skill ros-skill-lpigeon
Please help me install this Agent Skill. Skill: ros-skill Source: https://github.com/lpigeon/ros-skill/tree/main Command: npx skills add https://github.com/lpigeon/ros-skill --skill ros-skill-lpigeon
AI agents need a reliable, language-based interface to control and monitor ROS/ROS2 robots without exposing complex ROS tooling in the prompt.
Install the websocket-client, start rosbridge, then run ros_cli.py connect and issue commands to control your robot.
High-intent search queries and answers about installing and using this skill.
Control ROS2 robots with AI by connecting to a rosbridge WebSocket server via a CLI, enabling agents to publish topics, invoke services, and manage actions through natural language commands.
Running a rosbridge WebSocket CLI requires Python 3.10+, the websocket-client package, and an active rosbridge server on the robot communicating through port 9090.
Rosbridge supports both ROS 1 and ROS 2 environments, allowing interaction with topics, services, nodes, parameters, and actions across both frameworks through a unified WebSocket CLI interface.
Read and publish ROS topics from an AI assistant by translating natural language instructions into rosbridge commands, allowing you to inspect topic details, read messages, and publish data to the robot.
Test ROS actions and services without raw terminal commands by using an AI agent connected through rosbridge, enabling you to invoke services and monitor actions via natural language workflows.
ivo-tobyConfigure a terminal chat channel for the Talon daemon via WebSocket.
adityakamathTranslate natural-language commands into JSON-backed ROS 2 actions.
rinviiTranslate natural language commands into ROS/ROS2 operations via rosbridge WebSocket.
rinviiAutomate ROS 2 robot discovery, control, safety checks, and diagnostics via rclpy.
