Overview
- Serves as tutorial introduction, now in a completely revised, extended, and updated third edition
- Includes a lot of Python examples and figures and is written in a light but informative style, easy-to-read, and absorb
- Covers new content, particularly in the areas of mobile robot path planning
Part of the book series: Springer Tracts in Advanced Robotics (STAR, volume 146)
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About this book
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.
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Keywords
Table of contents (16 chapters)
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Front Matter
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Foundations
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Front Matter
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Mobile Robotics
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Front Matter
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Robot Manipulators
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Front Matter
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Computer Vision
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Front Matter
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Vision-Based Control
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Front Matter
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Reviews
“The book, nearly 800 pages, has 16 chapters. ... Almost every chapter includes wrap-ups, recommendations for further reading, and exercises, and sometimes additional resources. ... There are numerous color illustrations. The book has many features, including exercises that help pedagogy. This updated third edition will be very useful for students, researchers, and professionals interested in robotics and its practical applications.” (S. V. Nagaraj, Computing Reviews, March 25, 2024)
Authors and Affiliations
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.
Bibliographic Information
Book Title: Robotics, Vision and Control
Book Subtitle: Fundamental Algorithms in Python
Authors: Peter Corke
Series Title: Springer Tracts in Advanced Robotics
DOI: https://doi.org/10.1007/978-3-031-06469-2
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023
Softcover ISBN: 978-3-031-06468-5Published: 08 August 2023
eBook ISBN: 978-3-031-06469-2Published: 09 May 2023
Series ISSN: 1610-7438
Series E-ISSN: 1610-742X
Edition Number: 3
Number of Pages: XXVI, 824
Number of Illustrations: 635 illustrations in colour
Additional Information: Previously published in two volumes
Topics: Control, Robotics, Mechatronics, Artificial Intelligence, Control and Systems Theory, Image Processing and Computer Vision, Signal, Image and Speech Processing, Cognitive Psychology