首页|Investigators from Nanjing University Report New Data on Robotics (Hierarchical Free Gait Motion Planning for Hexapod Robots Using Deep Reinforcement Learning)
Investigators from Nanjing University Report New Data on Robotics (Hierarchical Free Gait Motion Planning for Hexapod Robots Using Deep Reinforcement Learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on Robotics have been pr esented. According to news reporting out ofNanjing, People’s Republic of China, by NewsRx editors, research stated, “This article addresses the problemof legg ed locomotion in unstructured environments, and a novel hierarchical multicontac t motion planningmethod for hexapod robots is proposed by combining free gait m otion planning and deep reinforcementlearning. We structurally decompose the co mplex free gait multicontact motion planning task into pathplanning in discrete state space and gait planning in a continuous state space.”
NanjingPeople’s Republic of ChinaAsi aEmerging TechnologiesMachine LearningNano-robotReinforcement LearningRoboticsNanjing University
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