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Titlebook: Repetitive Motion Planning and Control of Redundant Robot Manipulators; Yunong Zhang,Zhijun Zhang Book 2013 Springer-Verlag Berlin Heidelb

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樓主
發(fā)表于 2025-3-21 16:52:58 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Repetitive Motion Planning and Control of Redundant Robot Manipulators
編輯Yunong Zhang,Zhijun Zhang
視頻videohttp://file.papertrans.cn/828/827229/827229.mp4
概述Reviews recent work on quadratic program based repetitive motion planning methods for redundant robot manipulators.Provides different optimization schemes and simulations, neural network design and ap
圖書封面Titlebook: Repetitive Motion Planning and Control of Redundant Robot Manipulators;  Yunong Zhang,Zhijun Zhang Book 2013 Springer-Verlag Berlin Heidelb
描述.Repetitive Motion Planning and Control of Redundant Robot Manipulators. 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..Yunong Zhang. is a professor at The School of Information Science and Technology, Sun Yat-sen University, Guangzhou, China; .Zhijun Zhang. is a research fellow working at the same institute.? .
出版日期Book 2013
關(guān)鍵詞Numerical Methods; Quadratic Program (QP); RMP Scheme; Recurrent Neural Network; Repetitive Motion Plann
版次1
doihttps://doi.org/10.1007/978-3-642-37518-7
isbn_softcover978-3-642-44492-0
isbn_ebook978-3-642-37518-7
copyrightSpringer-Verlag Berlin Heidelberg 2013
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沙發(fā)
發(fā)表于 2025-3-21 23:13:59 | 只看該作者
Primal–Dual Neural NetworksN is used to solve online a linear program and its dual problem; the LVI-PDNN is used to solve the QP and LP problems; and the simplified LVI-PDNN is used to solve the strictly-convex QP problem subject to equality, inequality, and bound constraints.
板凳
發(fā)表于 2025-3-22 00:36:48 | 只看該作者
地板
發(fā)表于 2025-3-22 07:26:11 | 只看該作者
Robotic RMP Schemes and QP Formulationsin this chapter for online RMP of redundant robot manipulators. Such an RMP scheme, which takes into account the avoidance of joint physical limits (e.g., joint-angle limits and joint-velocity limits), aims at remedying the so-called joint-angle drift problem. Then, some other optimization schemes,
5#
發(fā)表于 2025-3-22 11:51:44 | 只看該作者
6#
發(fā)表于 2025-3-22 16:19:52 | 只看該作者
Primal–Dual Neural Networksrk (LVI-PDNN) and a simplified LVI-PDNN. For demonstrating the wide applicability and effectiveness of such three neural networks, the traditional PDNN is used to solve online a linear program and its dual problem; the LVI-PDNN is used to solve the QP and LP problems; and the simplified LVI-PDNN is
7#
發(fā)表于 2025-3-22 20:35:37 | 只看該作者
Numerical Algorithm 94LVIconstraints. To do this, as the previous chapter shows, the constrained QP problem is first converted into the LVI, which is then converted into an equivalent piecewise-linear equation (PLE). After that, the resultant PLE is solved by the presented 94LVI algorithm. The optimal numerical solution to
8#
發(fā)表于 2025-3-23 00:41:02 | 只看該作者
Numerical Algorithm E47rd (Zhang et al. in Proceedings of IEEE International Conference on Automation and Logistics, pp. 125–130, .), is presented and investigated to solve the QP problem that is simultaneously subject to linear equality, inequality, and bound constraints. Note that the constrained QP problem can be conve
9#
發(fā)表于 2025-3-23 02:25:47 | 只看該作者
Examples of Planar Multilink Manipulatorsoint-angle drift problem. In this chapter, a dual neural network (introduced in Chap.?.) and an LVI-based primal–dual neural network (introduced in Chap.?.) are presented for online repetitive motion planning (RMP) of redundant robot manipulators (with multilink planar manipulators as examples). As
10#
發(fā)表于 2025-3-23 08:32:13 | 只看該作者
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