首页|New Robotics Study Findings Have Been Reported by Investigatorsat Xi’an Jiaoton g University (Simultaneously Learning of Motion,Stiffness, and Force From Human Demonstration Based On Riemannian Dmp and Qp Optimization)
New Robotics Study Findings Have Been Reported by Investigatorsat Xi’an Jiaoton g University (Simultaneously Learning of Motion,Stiffness, and Force From Human Demonstration Based On Riemannian Dmp and Qp Optimization)
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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 fromShaanxi, People’s Republic of China, b y NewsRx journalists, research stated, “In this paper, we proposea motion, stif fness, and force learning framework based on an extended dynamic movement primit ive(DMP) and quadratic programming (QP) optimization. The objective is to learn kinematic and dynamicoperational parameters from a one-shot human demonstratio n, through measurement and estimation of themotion, 3-dimensional (3-D) endpoin t stiffness, and applied forces of the human arm during manipulationtasks.”
ShaanxiPeople’s Republic of ChinaAsi aEmerging TechnologiesMachine LearningNano-robotRobotRoboticsXi’an J iaotong University
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