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ROSA, short for Robot Operating System Agent, is an AI-powered software assistant developed by NASA’s Jet Propulsion Laboratory to simplify interaction with robotic systems that use the Robot Operating System (ROS). The project provides a natural language interface that allows developers and operators to interact with robots by issuing commands or queries in conversational language. Built on top of frameworks such as LangChain and modern large language models, ROSA translates user instructions into actions that can be executed within ROS1 or ROS2 environments. This capability enables users to inspect system status, diagnose issues, and control robot behavior without manually navigating complex command-line tools or configuration files. The system integrates with robotics software stacks and exposes operational tools that allow AI agents to analyze system logs, inspect sensors, or trigger robot tasks.
Features
- Natural language interface for interacting with ROS-based robotic systems
- Integration with ROS1 and ROS2 environments for robot diagnostics and control
- AI agent architecture built on large language models and LangChain
- Tool-based execution framework allowing AI agents to trigger robotics operations
- Support for inspecting system data, logs, and robot state information
- Extensible modular architecture enabling integration with additional robotics tools
Project Samples
