Robotics, Vision and Control: Fundamental Algorithms in Python

by Peter Corke

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.

652 pages, Kindle Edition

Published May 9, 2023

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Reviews

[Petar Crnjak · Rating 5 out of 5]

Best book for robotics with examples. I started with the matlab version of the library in college, following Peters tutorials on robot academy. Along the way I transitioned to using python and this book is a perfect mix of theory that you will need to follow python code snippets and build your own robots and algorithms.