Robotics & Machine Learning Daily News2024,Issue(Sep.23) :16-17.

Study Findings from Tsinghua University Broaden Understanding of Machine Learnin g (A Cable-actuated Soft Manipulator for Dexterous Grasping Based On Deep Reinfo rcement Learning)

Robotics & Machine Learning Daily News2024,Issue(Sep.23) :16-17.

Study Findings from Tsinghua University Broaden Understanding of Machine Learnin g (A Cable-actuated Soft Manipulator for Dexterous Grasping Based On Deep Reinfo rcement Learning)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Data detailed on Machine Learning have been prese nted. According to news originating from Shenzhen, People’s Republic of China, b y NewsRx correspondents, research stated, “The growing interest in the flexibili ty and operational capabilities of soft manipulators in confined spaces emphasiz es the need for precise modeling and accurate motion control. Conventional contr ol methods encounter difficulties in modeling and involve intricate computations .”

Key words

Shenzhen/People’s Republic of China/As ia/Algorithms/Emerging Technologies/Machine Learning/Reinforcement Learning/Tsinghua University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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