Researchers at the RAI Institute have bridged the gap between kinematic motion diffusion models and physics-based control policies with a new guided diffusion framework called Diffuse-CLoC.
The IEEE International Conference on Robotics and Automation (ICRA) will take place May 19 – 23, 2025 in Atlanta, Georgia. ICRA serves as the premier...
Reinforcement learning is used to speed the production of behavior for the Atlas humanoid robot. At the heart of the learning process is a physics-based...
Introducing Theia, a vision foundation model for robotics developed by researchers at the Institute.
Unlocking physical capabilities with artificial intelligence to build the next generation of machines
Researchers at the RAI Institute have bridged the gap between kinematic motion diffusion models and physics-based control policies with a new guided diffusion framework called Diffuse-CLoC.
The IEEE International Conference on Robotics and Automation (ICRA) will take place May 19 – 23, 2025 in Atlanta, Georgia. ICRA serves as the premier forum for leading...
Using reinforcement learning we have expanded the range of techniques the Ultra Mobile Vehicle (UMV) uses to handle terrain and obstacles, including hops, out-of-plane balance,...
While AI has mastered language, getting robots to move swiftly and effortlessly through the unstructured world has not been solved. RAI Institute is building robots...
Ultra Mobile Vehicle (UMV) learns to flip.
