RobotecAI/rai
An agentic AI framework for Physical AI robotics that integrates LLMs, VLMs, and multi-agent systems with ROS 2.
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RAI is a vendor-agnostic agentic framework designed to develop and deploy Embodied AI capabilities for robots. It leverages ROS 2 tools and integrates generative AI, vision-language models, and multi-agent systems to enable complex robotic actions, scenario execution, voice interaction, and log summarization. The framework supports flexible interface execution and is designed for interoperability across different robotic platforms.
Frequently asked
- What is RobotecAI/rai?
- An agentic AI framework for Physical AI robotics that integrates LLMs, VLMs, and multi-agent systems with ROS 2.
- Is rai open source?
- Yes — RobotecAI/rai is open source, released under the Apache-2.0 license.
- What language is rai written in?
- RobotecAI/rai is primarily written in Python.
- How popular is rai?
- RobotecAI/rai has 555 stars on GitHub.
- Where can I find rai?
- RobotecAI/rai is on GitHub at https://github.com/RobotecAI/rai.