About a year ago, Boston Dynamics released a research version of its Spot quadruped robot , which comes with a low-level application programming interface (API) that allows direct control of Spot’s joints. Even back then, the rumor was that this API unlocked some significant performance improvements on Spot, including a much faster running speed. That rumor came from the Robotics and AI (RAI) Institute , formerly The AI Institute , formerly the Boston Dynamics AI Institute , and if you were at Marc Raibert’s talk at the ICRA@40 conference in Rotterdam last fall, you already know that it turned out not to be a rumor at all. Today, we’re able to share some of the work that the RAI Institute has been doing to apply reality-grounded reinforcement learning techniques […]
Original web page at spectrum.ieee.org
