A four-legged robotic system for playing soccer on various terrains

“DribbleBot” can maneuver a soccer ball on landscapes such as sand, gravel, mud, and snow, using reinforcement learning to adapt to varying ball dynamics.

algorithms artificial intelligence computer science and technology dynamics machine learning manufacturing mit-ibm watson ai lab mit schwarzman college of computing national science foundation (nsf) playing reinforcement reinforcement learning robotics robots sand school of engineering simulation snow soccer