Robotics & Machine Learning Daily News2024,Issue(Oct.24) :107-108.

New Findings from South China University of Technology Describe Advances in Robotics (Graphic Transfer Matrix Method for Kinetostatic and Dynamic Analyses of Compliant Mechanisms)

Robotics & Machine Learning Daily News2024,Issue(Oct.24) :107-108.

New Findings from South China University of Technology Describe Advances in Robotics (Graphic Transfer Matrix Method for Kinetostatic and Dynamic Analyses of Compliant Mechanisms)

扫码查看

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in Robotic s. According to news originating from Guangzhou, People’s Republic of China, by NewsRx correspondents, research stated, “Kinetostatic and dynamic analyses of compliant mechanisms with complex configurations continue to be an attractive issu e for obtaining a process-concise and result-accurate solution. In this paper, the transfer matrix method (TMM) is improved for a unified linear kinetostatics and dynamic modeling of compliant mechanisms with complex serial-parallel configu rations in an oriented graphic way.”

Key words

Guangzhou/People’s Republic of China/Asia/Robotics/South China 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:
段落导航相关论文