9783031072611-3031072618-Robotics, Vision and Control: Fundamental Algorithms in MATLAB® (Springer Tracts in Advanced Robotics, 147)

Robotics, Vision and Control: Fundamental Algorithms in MATLAB® (Springer Tracts in Advanced Robotics, 147)

ISBN-13: 9783031072611
ISBN-10: 3031072618
Edition: 3rd ed. 2023
Author: Peter Corke, Witold Jachimczyk, Remo Pillat
Publication date: 2023
Publisher: Springer
Format: Paperback 843 pages
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Book details

ISBN-13: 9783031072611
ISBN-10: 3031072618
Edition: 3rd ed. 2023
Author: Peter Corke, Witold Jachimczyk, Remo Pillat
Publication date: 2023
Publisher: Springer
Format: Paperback 843 pages

Summary

Robotics, Vision and Control: Fundamental Algorithms in MATLAB® (Springer Tracts in Advanced Robotics, 147) (ISBN-13: 9783031072611 and ISBN-10: 3031072618), written by authors Peter Corke, Witold Jachimczyk, Remo Pillat, was published by Springer in 2023. With an overall rating of 3.6 stars, it's a notable title among other books. You can easily purchase or rent Robotics, Vision and Control: Fundamental Algorithms in MATLAB® (Springer Tracts in Advanced Robotics, 147) (Paperback) from BooksRun, along with many other new and used books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $17.94.

Description

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 cohesive narrative. 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 MATLAB® and a number of MathWorks® toolboxes. These provide a set of supported software tools for addressing a broad range of applications in robotics and computer vision.  These toolboxes enable the reader to easily bring the algorithmic concepts into practice and work with real, non-trivial, problems. 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. Two co-authors from MathWorks have joined the writing team and bring deep knowledge of these MATLAB toolboxes and workflows.

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