首页|Study Findings on Robotics Discussed by a Researcher at Changchun University of Science and Technology (An Admittance Parameter Optimization Method Based on Rei nforcement Learning for Robot Force Control)
Study Findings on Robotics Discussed by a Researcher at Changchun University of Science and Technology (An Admittance Parameter Optimization Method Based on Rei nforcement Learning for Robot Force Control)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Investigators publish new report on robotics. Acc ording to news originating from Changchun, People’s Republic of China, by NewsRx editors, the research stated, “When a robot performs tasks such as assembly or human-robot interaction, it is inevitable for it to collide with the unknown env ironment, resulting in potential safety hazards.” Financial supporters for this research include Equipment Development Department of People’s Republic of China Central Military Commission; Department of Science And Technology of Jilin Province Key R&D Project.
Changchun University of Science and Tech nologyChangchunPeople’s Republic of ChinaAsiaAlgorithmsEmerging Techno logiesMachine LearningReinforcement LearningRobotRobotics
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