Robotics & Machine Learning Daily News2024,Issue(Feb.14) :39-40.DOI:10.1016/j.rcim.2023.102713

Study Data from Guangdong Academy of Science Provide New Insights into Robotics (Uncertainty-aware Error Modeling and Hierarchical Redundancy Optimization for Robotic Surface Machining)

Robotics & Machine Learning Daily News2024,Issue(Feb.14) :39-40.DOI:10.1016/j.rcim.2023.102713

Study Data from Guangdong Academy of Science Provide New Insights into Robotics (Uncertainty-aware Error Modeling and Hierarchical Redundancy Optimization for Robotic Surface Machining)

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Abstract

Investigators publish new report on Robotics. According to news originating from Guangzhou, People’s Republic of China, by NewsRx correspondents, research stated, “Industrial robots are commonly utilized in in-situ machining, but their inherent limitations in stiffness and positioning accuracy can pose challenges in achieving precise freeform surface milling. Previous research primarily focused on robot stiffness optimization and positioning error prediction separately, neglecting the uncertainty of robot errors and the modeling of surface profile errors.”

Key words

Guangzhou/People’s Republic of China/Asia/Emerging Technologies/Machine Learning/Robot/Robotics/Robots/Guangdong Academy of Science

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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参考文献量41
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