Robotics & Machine Learning Daily News2024,Issue(Nov.12) :30-31.

Findings from South China University of Technology Yields New Findings on Roboti cs (Neural Dynamic Fault-tolerant Scheme for Collaborative Motion Planning of Du al-redundant Robot Manipulators)

华南理工大学的研究成果对Roboti CS(冗余度机器人协作运动规划的神经动态容错方案)产生了新的发现

Robotics & Machine Learning Daily News2024,Issue(Nov.12) :30-31.

Findings from South China University of Technology Yields New Findings on Roboti cs (Neural Dynamic Fault-tolerant Scheme for Collaborative Motion Planning of Du al-redundant Robot Manipulators)

华南理工大学的研究成果对Roboti CS(冗余度机器人协作运动规划的神经动态容错方案)产生了新的发现

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摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-关于机器人的详细数据已经公布。根据消息来源在中华人民共和国广州,NewsRx记者,研究称,“为了避免双冗余度ro机器人协同运动规划中关节故障引起的任务失败提出并应用了一种神经网络动态容错(NDFT)方案。为了做到这一点,首先设计了容错策略,并将其表述为时变等式约束。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Data detailed on Robotics have been pr esented. According to news originatingfrom Guangzhou, People’s Republic of Chin a, by NewsRx correspondents, research stated, “To avoid thetask failure caused by joint breakdown during the collaborative motion planning of dual-redundant ro botmanipulators, a neural dynamic fault-tolerant (NDFT) scheme is proposed and applied. To do so, a jointfault-tolerant strategy is first designed, and it is formulated as a time-varying equality constraint.”

Key words

Guangzhou/People’s Republic of China/A sia/Emerging Technologies/Machine Learning/Robot/Robotics/South China Unive rsity of Technology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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