Yunong Zhang Zhijun Zhang Zhang Repetitive Motion Planning and Control of Redundant Robot Manipulators

Repetitive Motion Planning and Control of Redundant Robot Manipulators

von Yunong Zhang Zhijun Zhang

Preis unbekannt

Buch in deiner Nähe kaufen


...oder deine aktuelle Postleitzahl eingeben:
oder

Beschreibung

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.    

 


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. 
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 application Includes theory analysis, computer simulations, physical experiments in robotics Includes supplementary material: sn.pub/extras

Autor*in

Yunong Zhang

Themen in »Repetitive Motion Planning and Control of Redundant Robot Manipulators«

Numerical Methods Quadratic Program (QP) RMP Scheme Recurrent Neural Network Repetitive Motion Planning and Control Robot Manipulator

Stimmen zu »Repetitive Motion Planning and Control of Redundant Robot Manipulators«

From the reviews:

“The book is primarily a collection of the first author’s work, from a decade of projects focused on developing motion planning schemata for redundant robots. … Each of the 11 chapters includes a reference list, and there are four appendices and a glossary. … The book is a typical research book, convenient for researchers, those in industry, and graduate students in automation, since it presents a comprehensive view of an approach to solving the RMP problem.” (G. Gini, Computing Reviews, October, 2013)
()

Details

ISBN: 9783642444920
Verlag: Springer Berlin
Erscheinung: 23.06.2015

Link teilen


Über buchnah.de | Die Buchhandlungen | Die Verlage | Impressum & Kontakt | Datenschutz | Presse


Auf dieser Seite kannst Du Buchhandlungen in der Nähe finden