The Digital Press

RAI is a new framework designed to create embodied multi-agent systems that integrate robotics, simulations, and large language models. It supports physical robots and simulations, enabling rapid prototyping and evaluation of control, embodiment, and perception.

Why it matters: RAI enables efficient development and testing of embodied AI systems across real and simulated robotic platforms.

The big picture: The framework bridges robotics stacks, large language models, and simulations for multi-agent embodied AI systems.

Stunning stat: Successfully deployed on physical Husarion ROSBot XL and simulated robot arm and tractor controller systems.

Quick takeaway: RAI supports multi-agent robotics applications and helps identify limitations in current generative models for embodied AI.