Robotics, Vision and Control: Fundamental Algorithms in Python (Springer Tracts in Advanced Robotics, 146)

Corke, Peter

ISBN 10: 3031064682 / ISBN 13: 9783031064685

Published by Springer (edition Third Edition 2023), 2023

About this Item

It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.

Seller Inventory # 3031064682-8-1

Bibliographic Details

• Title: Robotics, Vision and Control: Fundamental Algorithms in Python (Springer Tracts in Advanced Robotics, 146)
• Publisher: Springer (edition Third Edition 2023)
• Publication Date: 2023
• Language: English
• ISBN 10: 3031064682
• ISBN 13: 9783031064685
• Binding: Paperback
• Edition: Third Edition 2023.
• Condition: Very Good

About this title

Synopsis

This textbook provides a comprehensive, but tutorial, introduction to robotics, computer vision, and control. It is written in a light but informative conversational style, weaving text, figures, mathematics, and lines of code into a narrative that covers robotics and computer vision―separately, and together as robotic vision. Over 1600 code examples show how complex problems can be decomposed and solved using just a few simple lines of code.

This edition is based on Python and is accompanied by fully open-source Python-based Toolboxes for robotics and machine vision.  The new Toolboxes enable the reader to easily bring the algorithmic concepts into practice and work with real, non-trivial, problems on a broad range of computing platforms. For the beginning student the book makes the algorithms accessible, the Toolbox code can be read to gain understanding, and the examples illustrate how it can be used. The code can also be the starting point for new work, for practitioners, students, or researchers, by writing programs based on Toolbox functions, or modifying the Toolbox code itself.

About the Author

Peter Corke is a robotics educator and researcher.  He is known for his work in vision-based control and field robotics, as well as open-source robotics software and educational resources such as the QUT Robot Academy.  He is a distinguished professor at the Queensland University of Technology and a technical advisor to several robotics companies. He was the Australian University Teacher of the Year in 2017 and is a fellow of the IEEE, the Australian Academy of Technology and Engineering, and the Australian Academy of Science.  He received his PhD from the University of Melbourne.