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Models & ResearchAI AgentsAI DevelopmentInfrastructure & HardwareImage, Video & AudioRobotics & Autonomous SystemsBusiness & IndustryPolicy & RegulationSafety & SecurityBenchmarks & EvaluationOpen Source & CommunityAI in Society
Robotics & Autonomous SystemsBusiness & IndustryPolicy & RegulationSafety & SecurityBenchmarks & EvaluationOpen Source & CommunityAI in Society

11 NovRobotics & Autonomous Systemstechxplore.com

PRISM helps robots move better by learning how forces and motion interact

AIAI-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.

Robotics Humanoid Robots

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