PRISM helps robots move better by learning how forces and motion interact
AI-generated summary Researchers at University of Michigan Engineering developed a new neural network component called PRISM to help robots control physical movement by learning how forces and motion interact. In tests, PRISM enabled a humanoid robot to complete 92.5% of walking trials without falling and an SO-101 robotic arm to achieve 94% success picking up a roll of tape.