首页|Study Results from Chongqing University Provide New Insights into Robotics (Neur oadaptive Fixed-time Synchronous Control With Composite Learning Policy for Robo tic Multifingers)
Study Results from Chongqing University Provide New Insights into Robotics (Neur oadaptive Fixed-time Synchronous Control With Composite Learning Policy for Robo tic Multifingers)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Ro botics. According to news reporting originating inChongqing, People’s Republic of China, by NewsRx journalists, research stated, “Dexterous manipulation ofant hropomorphic multifinger robotic hands (MFRHs) is crucial for performing diverse and intricate tasks,where collaboration among the fingers is essential. This a rticle presents a novel neural network-basedcomposite learning strategy tailore d for the synchronous control of multiple fingers in anthropomorphicMFRHs subje cted to unknown dynamics and disturbances.”
ChongqingPeople’s Republic of ChinaA siaEmerging TechnologiesMachine LearningRoboticsRobotsChongqing Univer sity
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