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...
We propose a framework to help the robotics community explore how automation impacts jobs that are considered dull, dirty, dangerous (DDD).
AthenaZero is a robotic manipulator built to tackle dynamic tasks like a human arm. This fast, precise robot can switch in an instant from a gentle touch to...
How a hands-on “Drive-a-Spot” experience significantly increased participants’ comfort with and perceived suitability for robots.
Roadrunner can stand up from the ground, drive with its wheels side-by-side, or shift them in-line.
Researchers at the RAI Institute have built a low-impedance platform to study dynamic robot manipulation. In this demo, robots play a game of catch and...
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...
