首页|New Findings from Beihang University Update Understanding of Robotics (An Improv ed Iterative Approach With a Comprehensive Friction Model for Identifying Dynami c Parameters of Collaborative Robots)
New Findings from Beihang University Update Understanding of Robotics (An Improv ed Iterative Approach With a Comprehensive Friction Model for Identifying Dynami c Parameters of Collaborative 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 i n a new report. According to news originatingfrom Beijing, People’s Republic of China, by NewsRx correspondents, research stated, “Collaborative robotsare bec oming intelligent assistants of human in industrial settings and daily lives. Dy namic modelidentification is an active topic for collaborative robots because i t can provide effective ways to achieveprecise control, fast collision detectio n and smooth lead-through programming.”
BeijingPeople’s Republic of ChinaAsi aEmerging TechnologiesMachine LearningNano-robotRoboticsBeihang Univer sity
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