A new system from
MIT CSAIL allows quadruped robots to dribble a soccer ball in sand, gravel, mud, or snow, using reinforcement learning to adapt to varying dynamics. Such
robots could outperform wheeled robots on uneven terrain, such as in disaster recovery.