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

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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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.

HangzhouPeople’s Republic of ChinaAs iaAlgorithmsEmerging TechnologiesGenetic AlgorithmsHealth and MedicineMachine LearningMutagenesisRoboticsRobotsZhejiang University

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(MAY.31)