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Kinematic Control of Redundant Robot Arms Using Neural Networks
book

Kinematic Control of Redundant Robot Arms Using Neural Networks

by Shuai Li, Long Jin, Mohammed Aquil Mirza
April 2019
Intermediate to advanced content levelIntermediate to advanced
216 pages
7h 5m
English
Wiley-IEEE Press
Content preview from Kinematic Control of Redundant Robot Arms Using Neural Networks

List of Tables

1.1 Comparison of ZNN‐based and gradient‐based techniques for solving images.
3.1 Summary of the Denavit–Hartenberg parameters of the PUMA 560 manipulator used in the simulation.
3.2 Comparisons of different RNN algorithms for the tracking control of a PUMA 560 manipulator.
3.3 The RMS position tracking errors of the different controllers.
4.1 Summary of the Denavit–Hartenberg parameters of the PUMA 560 manipulator used in the simulation.
5.1 Summary of the Denavit–Hartenberg parameters of the PUMA images manipulator used in the simulation.
7.1 Comparisons of different methods for kinematic control of Stewart platforms.
9.1 Comparison of different schemes for redundancy resolution of manipulators.
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Publisher Resources

ISBN: 9781119556961Purchase book