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From Walking to Working: Spot Stacks Tires

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...

Ultra Mobile Vehicle Expands Mobility Repertoire

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,...

Stunting with Reinforcement Learning

In this demo, Ultra Mobile Vehicle (UMV) drives, turns, jumps, tricks, and comes to a sudden stop called a track-stand. All of the driving, landings, balance, and track-stands are done using reinforcement learning.

Spot Speeds Up

Using reinforcement learning, we trained policies for Spot that allow the robot to achieve record running speeds of 11.5 mph (5.2 m/s) — over three times faster than Spot's default max speed.

It Takes Two to Tango

Stay tuned and subscribe to our YouTube channel for updates from our research teams in 2024.