首页|Studies from Sun Yat-sen University Reveal New Findings on Robotics (Novel Snap- layer Mmpc Scheme Via Neural Dynamics Equivalency and Solver for Redundant Robot Arms With Five-layer Physical Limits)
Studies from Sun Yat-sen University Reveal New Findings on Robotics (Novel Snap- layer Mmpc Scheme Via Neural Dynamics Equivalency and Solver for Redundant Robot Arms With Five-layer Physical Limits)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Robotics have been published. According to news reportingout of Guangzhou, People’s Republic of China, by NewsRx editors, research stated, “To obtain smootherkinematic con trol of minimum motion, a novel snap-layer minimum motion scheme, otherwise know n asthe minimum motion planning and control (MMPC) scheme for redundant robot a rms, is proposed for thefirst time in this study. With the primary task of trac king planned paths and the consideration of satisfyingfive-layer physical limit s, the snap-layer MMPC problem is transformed into a quadratic programming (QP)problem.”
GuangzhouPeople’s Republic of ChinaA siaEmerging TechnologiesMachine LearningRobotRoboticsSun Yat-sen Unive rsity
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