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Zhijun Zhang
Repetitive Motion Planning and Control of Redundant Robot Manipulators
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3711716Repetitive Motion Planning and Control of Redundant Robot Manipulatorshttps://www.gandhi.com.mx/repetitive-motion-planning-and-control-of-redundant-robot-manipulators-9783642375187/phttps://gandhi.vtexassets.com/arquivos/ids/3864384/f82fc761-1266-4cc9-bf38-1757729a7c2d.jpg?v=63838599166333000021472385MXNSpringer Berlin HeidelbergInStock/Ebooks/<p><em>Repetitive Motion Planning and Control of Redundant Robot Manipulators</em> presents four typical motion planning schemes based on optimization techniques, including the fundamental RMP scheme and its extensions. These schemes are unified as quadratic programs (QPs), which are solved by neural networks or numerical algorithms. The RMP schemes are demonstrated effectively by the simulation results based on various robotic models; the experiments applying the fundamental RMP scheme to a physical robot manipulator are also presented. As the schemes and the corresponding solvers presented in the book have solved the non-repetitive motion problems existing in redundant robot manipulators, it is of particular use in applying theoretical research based on the quadratic program for redundant robot manipulators in industrial situations. This book will be a valuable reference work for engineers, researchers, advanced undergraduate and graduate students in robotics fields.</p><p><strong>Yunong Zhang</strong> is a professor at The School of Information Science and Technology, Sun Yat-sen University, Guangzhou, China; <strong>Zhijun Zhang</strong> is a research fellow working at the same institute.</p>...3647476Repetitive Motion Planning and Control of Redundant Robot Manipulators21472385https://www.gandhi.com.mx/repetitive-motion-planning-and-control-of-redundant-robot-manipulators-9783642375187/phttps://gandhi.vtexassets.com/arquivos/ids/3864384/f82fc761-1266-4cc9-bf38-1757729a7c2d.jpg?v=638385991663330000InStockMXN99999DIEbook20149783642375187_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_<p><em>Repetitive Motion Planning and Control of Redundant Robot Manipulators</em> presents four typical motion planning schemes based on optimization techniques, including the fundamental RMP scheme and its extensions. These schemes are unified as quadratic programs (QPs), which are solved by neural networks or numerical algorithms. The RMP schemes are demonstrated effectively by the simulation results based on various robotic models; the experiments applying the fundamental RMP scheme to a physical robot manipulator are also presented. As the schemes and the corresponding solvers presented in the book have solved the non-repetitive motion problems existing in redundant robot manipulators, it is of particular use in applying theoretical research based on the quadratic program for redundant robot manipulators in industrial situations. This book will be a valuable reference work for engineers, researchers, advanced undergraduate and graduate students in robotics fields.</p><p><strong>Yunong Zhang</strong> is a professor at The School of Information Science and Technology, Sun Yat-sen University, Guangzhou, China; <strong>Zhijun Zhang</strong> is a research fellow working at the same institute.</p>(*_*)9783642375187_<p><em>Repetitive Motion Planning and Control of Redundant Robot Manipulators</em> presents four typical motion planning schemes based on optimization techniques, including the fundamental RMP scheme and its extensions. These schemes are unified as quadratic programs (QPs), which are solved by neural networks or numerical algorithms. The RMP schemes are demonstrated effectively by the simulation results based on various robotic models; the experiments applying the fundamental RMP scheme to a physical robot manipulator are also presented. As the schemes and the corresponding solvers presented in the book have solved the non-repetitive motion problems existing in redundant robot manipulators, it is of particular use in applying theoretical research based on the quadratic program for redundant robot manipulators in industrial situations. This book will be a valuable reference work for engineers, researchers, advanced undergraduate and graduate students in robotics fields.</p><p><strong>Yunong Zhang</strong> is a professor at The School of Information Science and Technology, Sun Yat-sen University, Guangzhou, China; <strong>Zhijun Zhang</strong> is a research fellow working at the same institute.</p>...9783642375187_Springer Berlin Heidelberglibro_electonico_f0963e48-c7d0-3059-82b2-83b88c5b36b4_9783642375187;9783642375187_9783642375187Zhijun ZhangInglésMéxico2014-07-08T00:00:00+00:00Springer Berlin Heidelberg