Jeff Clune discusses how a new algorithm enables robots to adapt and learn different ways of walking in the real world, even when damaged. By utilizing simulation and Bayesian optimization, the robot can quickly find effective walking strategies in just a few trials, revolutionizing the traditional approach to machine learning in robotics.
