Robotics & Machine Learning Daily News2024,Issue(MAY.31) :29-30.

Studies from Zhejiang University Further Understanding of Robotics (Incremental Accelerated Gradient Descent and Adaptive Finetuning Heuristic Performance Opti mization for Robotic Motion Planning)

Robotics & Machine Learning Daily News2024,Issue(MAY.31) :29-30.

Studies from Zhejiang University Further Understanding of Robotics (Incremental Accelerated Gradient Descent and Adaptive Finetuning Heuristic Performance Opti mization for Robotic Motion Planning)

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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 Hangzhou, People’s Republic of China, by NewsRx correspondents, research stated, “Robot comprehensive performance optimization i s a high dimensional non-convex problem, which is of great significance in the p ractice of robotic intelligent manufacturing. Existing methods still face many c hallenges in performance evaluation, local optima, and planning efficiency.” Funders for this research include Key R & D Program of Zhejiang Pr ovince, National Natural Science Foundation of China (NSFC), Yuyao Science and t echnology project, Robotics Institute of Zhejiang University, Pioneer and Leadin g Goose R & D Program of Zhejiang.

Key words

Hangzhou/People’s Republic of China/As ia/Algorithms/Emerging Technologies/Genetic Algorithms/Health and Medicine/Machine Learning/Mutagenesis/Robotics/Robots/Zhejiang University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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