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)

Robotics & Machine Learning Daily News2024，Issue(Oct.1) ：87-87.

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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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Abstract

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.

Key words

Changchun University of Science and Tech nology/Changchun/People’s Republic of China/Asia/Algorithms/Emerging Techno logies/Machine Learning/Reinforcement Learning/Robot/Robotics

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出版年

2024

Robotics & Machine Learning Daily News

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段落导航