Robotics & Machine Learning Daily News2024,Issue(Feb.14) :53-54.DOI:10.1109/TIE.2023.3344831

Reports from Zhejiang University of Technology Add New Data to Findings in Robotics (A Policy Searched-based Optimization Algorithm for Obstacle Avoidance In Robot Manipulators)

Robotics & Machine Learning Daily News2024,Issue(Feb.14) :53-54.DOI:10.1109/TIE.2023.3344831

Reports from Zhejiang University of Technology Add New Data to Findings in Robotics (A Policy Searched-based Optimization Algorithm for Obstacle Avoidance In Robot Manipulators)

扫码查看

Abstract

Current study results on Robotics have been published. According to news reporting from Hangzhou, People’s Republic of China, by NewsRx journalists, research stated, “Most current learning from demonstration algorithms are only applied in static work environments. However, using the learned skills directly in a changing environment may lead to unpredictable situations, such as collisions.”

Key words

Hangzhou/People’s Republic of China/Asia/Algorithms/Emerging Technologies/Machine Learning/Robot/Robotics/Zhejiang University of Technology

引用本文复制引用

出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
被引量1
参考文献量27
段落导航相关论文