RobotecAI/rai
RAI is a vendor agnostic agentic framework for Physical AI robotics, utilizing ROS 2 tools to perform complex actions, defined scenarios, free interface execution, log summaries, voice interaction and more.
RAI helps robotics engineers and researchers integrate advanced AI capabilities into their physical robots, making them more autonomous and intelligent. It takes robot data, operational needs, and user commands (including voice) as input, and outputs intelligent robot actions, navigation, and human-like interactions. This is for professionals building or researching robots that need to understand and react to their environment with flexible problem-solving.
458 stars.
Use this if you need to equip your robots with generative AI capabilities for natural interaction, multi-modal data processing, and complex task execution in real-world or simulated environments.
Not ideal if you are looking for a simple, single-purpose robot control script rather than a comprehensive framework for complex embodied AI applications.
Stars
458
Forks
58
Language
Python
License
Apache-2.0
Category
Last pushed
Mar 10, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/agents/RobotecAI/rai"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related agents
lobehub/lobehub
The ultimate space for work and life — to find, build, and collaborate with agent teammates that...
Pipelex/pipelex
Declarative language for composable Al workflows. Devtool for agents and mere humans.
strands-agents/sdk-typescript
A model-driven approach to building AI agents in just a few lines of code.
lemony-ai/cascadeflow
Cascading runtime for AI agents. Optimize cost, latency, quality, and policy decisions inside...
agents-flex/agents-flex
Agents-flex is A Lightweight Java AI Application Development Framework.