Wednesday, February 26, 2025

Reinforcement Learning Triples dog's Running Speed and improves bike's jumping skills

Amazing stuff!

"... Today, we’re able to share some of the work that the RAI Institute has been doing to apply reality-grounded reinforcement learning techniques to enable much higher performance from Spot. The same techniques can also help highly dynamic robots operate robustly, and there’s a brand new hardware platform that shows this off: an autonomous bicycle that can jump. ...

This video is showing Spot running at a sustained speed of 5.2 meters per second (11.6 miles per hour). Out of the box, Spot’s top speed is 1.6 m/s, meaning that RAI’s spot has more than tripled (!) the quadruped’s factory speed. ...

It turned out that what was limiting Spot’s speed was not the actuators themselves, nor any of the robot’s kinematics: It was simply the batteries not being able to supply enough power. ...

The same techniques can also help highly dynamic robots operate robustly, and there’s a brand new hardware platform that shows this off: an autonomous bicycle that can jump. ...

The RAI Institute has been experimenting with a completely new kind of robot that it invented in-house: a little jumping bicycle called the Ultra Mobility Vehicle, or UMV, which was trained to do parkour using essentially the same RL pipeline for balancing and driving as was used for Spot’s high-speed running. ...

jumping on a table which is higher than the robot itself ..."

Robotics and AI Institute Triples Speed of Boston Dynamics Spot - IEEE Spectrum "The Robotics and AI Institute is teaching robot dogs to run and bicycles to jump"




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