Robotics & Machine Learning Daily News2024,Issue(Mar.19) :42-43.DOI:10.1109/TIE.2024.3357892

Studies from Sun Yat-sen University Have Provided New Data on Robotics (Discrete Quad Neural Dynamics for Inverse-free Control of Model-unavailable Continuum Ro bots)

Robotics & Machine Learning Daily News2024,Issue(Mar.19) :42-43.DOI:10.1109/TIE.2024.3357892

Studies from Sun Yat-sen University Have Provided New Data on Robotics (Discrete Quad Neural Dynamics for Inverse-free Control of Model-unavailable Continuum Ro bots)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in Robotics. According to news reporting originating in Guangzhou, People’s Republi c of China, by NewsRx journalists, research stated, “A lot of Jacobianbased con trol methods for continuum robots rely on the real-time calculation of the pseud oinverse of time-varying Jacobian matrices, which; however, is not friendly to t he hardware implementation of the control system and may be intractable to conve ntional matrix inversion methods intrinsically designed for time-invariant matri ces. In this article, we propose a continuous quad neural dynamics (CQND) method for the tracking control of continuum robots.”

Key words

Guangzhou/People’s Republic of China/A sia/Emerging Technologies/Machine Learning/Nano-robot/Robotics/Sun Yat-sen University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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