首页|Southwest Jiaotong University Researcher Describes Findings in Robotics (Deep deterministic policy gradient with constraints for gait optimisation of biped robots)
Southwest Jiaotong University Researcher Describes Findings in Robotics (Deep deterministic policy gradient with constraints for gait optimisation of biped robots)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on robotics are presented in a new report. According to news originatingfrom Sichuan, People’s Republic of China, by NewsRx correspondents, research stated, “In this paper, wepropose a novel Reinforcement Learning (RL) algorithm for robotic motion control, that is, a constrained Deep Deterministic Policy Gradient (DDPG) deviation learning strategy to assist biped robots in walkingsafely and accurately. The previous research on this topic highlighted the limitations in the controller’sability to accurately track foot placement on discrete terrains and the lack of consideration for safetyconcerns.”
Southwest Jiaotong UniversitySichuanPeople’s Republic of ChinaAsiaEmerging TechnologiesMachine LearningNano-robotRobotRobotics
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