Optimization for Robot Modelling with MATLAB 1st ed. 2020 Edition

Optimization for Robot Modelling with MATLAB 1st ed. 2020 Edition book cover

Optimization for Robot Modelling with MATLAB 1st ed. 2020 Edition

Author(s): Hazim Nasir Ghafil (Author), Károly Jármai (Author)

  • Publisher: Springer
  • Publication Date: 29 Feb. 2020
  • Edition: 1st ed. 2020
  • Language: English
  • Print length: 236 pages
  • ISBN-10: 3030404099
  • ISBN-13: 9783030404093

Book Description

This book addresses optimization in robotics, in terms of both the configuration space and the metal structure of the robot arm itself; and discusses, describes and builds different types of heuristics and algorithms in MATLAB.

In addition, the book includes a wealth of examples and exercises. In particular, it enables the reader to write a MATLAB code for all the related problems in robotics. The book also offers detailed descriptions of and builds from scratch several types of optimization algorithms using MATLAB and simplified methods, especially for inverse problems and avoiding singularities. Each chapter features examples and exercises to enhance the reader’s comprehension. Accordingly, the book offers the reader a better understanding of robot analysis from an optimization standpoint.


Editorial Reviews

Review

“This book is a concise and useful reading and should be of interest to master and Ph.D. students as well as practicing and research engineers in the field of robotics.” (Clementina Mladenova, zbMATH 1455.68008, 2021)

From the Back Cover

This book addresses optimization in robotics, in terms of both the configuration space and the metal structure of the robot arm itself; and discusses, describes and builds different types of heuristics and algorithms in MATLAB.

In addition, the book includes a wealth of examples and exercises. In particular, it enables the reader to write a MATLAB code for all the related problems in robotics. The book also offers detailed descriptions of and builds from scratch several types of optimization algorithms using MATLAB and simplified methods, especially for inverse problems and avoiding singularities. Each chapter features examples and exercises to enhance the reader’s comprehension. Accordingly, the book offers the reader a better understanding of robot analysis from an optimization standpoint.


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