Spot uses dynamic whole-body manipulation to autonomously upright, roll, drag, and stack 15kg car tires using an approach that combines reinforcement learning and sampling-based optimization
New reinforcement learning approach enables robots to dynamically coordinate any combination of limbs for complex tasks
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...
Spot uses dynamic whole-body manipulation to autonomously upright, roll, drag, and stack 15kg car tires using an approach that combines reinforcement learning and sampling-based optimization
Unlocking physical capabilities with artificial intelligence to build the next generation of machines.
Spot robot performs dynamic whole-body manipulation using a combination of reinforcement learning and sampling-based control. Behavior shown in the video is fully autonomous, including the...
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...
