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
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link: RAI Institute
We're creating future generations of robots.
Robotics has come a long way in the past 40 years, but we still have a long way to go.
We need to make robots smarter, more agile and dexterous, and generally easier to use - more like people. Once we do that, robots and other types of intelligent systems will increase productivity, free people from dangerous work, care for the disabled, and help people live better lives.
Marc Raibert
Executive Director, Robotics and AI Institute
We believe the development of future generations of intelligent machines requires four core areas of research.
Cognitive Intelligence
Robot’s ability to generalize, see relationships between things, use common sense, and plan.
Athletic Intelligence
Robot’s ability to physically carry out tasks using perception, locomotion, and balance.
Organic Design
Hardware development that brings robots closer to human-like capabilities.
Ethics
Data collection on the implementation and use of robotics, as well as their impact on society.
Let’s change the way the world thinks of robots.
Join us in creating the world’s premier research institute focused on intelligent machines.
Featured Resources
Designing Wheeled Robotic Systems for Ultra Mobility and Performance
Unlocking physical capabilities with artificial intelligence to build the next generation of machines.
Blog
Athletic Intelligence
Diffuse-CLoC: Bridging Physics and Control in Character Animation
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.
Blog
Athletic Intelligence