首页|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)
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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IEEE
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.”
GuangzhouPeople’s Republic of ChinaA siaEmerging TechnologiesMachine LearningNano-robotRoboticsSun Yat-sen University
NETL
NSTL
IEEE
