Authors:
processing, feature extraction and epipolar geometry, then bring it all together in a visual servo system
Tutorial introduction to robotics and vision
Easy to read and absorb, including Matlab examples and lots of figures
Written in a light but informative style, easy-to-read and absorb, and includes a lot of Matlab examples and figures
Explains how to choose the right algorithm for a particular problem how to try it out without spending days coding and debugging
Makes the algorithms accessible (so author’s Toolbox code can be read to gain understanding) and provides instant gratification in just a couple of lines of MATLAB code
Demonstrates how the code can also be the starting point for new work via writing programs based on Toolbox functions, or modifying the Toolbox code itself
Shows how complex problems can be decomposed and solved using just a few simple lines of code, and hopefully to inspire up and coming researchers
Walk through the fundamentals of robot kinematics, dynamics and joint level control, then camera models, image
Includes supplementary material: sn.pub/extras
Part of the book series: Springer Tracts in Advanced Robotics (STAR, volume 73)
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Table of contents (16 chapters)
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Front Matter
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Introduction
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Part I Foundations
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Front Matter
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Part II Mobile Robots
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Front Matter
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Part III Arm-Type Robots
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Front Matter
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Part IV Computer Vision
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Front Matter
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Part V Robotics, Vision and Control
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Front Matter
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About this book
The author has maintained two open-source MATLAB Toolboxes for more than 10 years: one for robotics and one for vision. The key strength of the Toolboxes provide a set of tools that allow the user to work with real problems, not trivial examples. For the 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 —instant gratification in just a couple of lines of MATLAB code. The code can also be the starting point for new work, for researchers or students, by writing programs based on Toolbox functions, or modifying the Toolbox code itself.
The purpose of this book is to expand on the tutorial material provided with the toolboxes, add many more examples, and to weave this into a narrative that covers robotics and computer vision separately and together. The author shows how complex problems can be decomposed and solved using just a few simple lines of code, and hopefully to inspire up and coming researchers. The topics covered are guided by the real problems observed over many years as a practitioner of both robotics and computer vision. It is written in a light but informative style, it is easy to read and absorb, and includes a lot of Matlab examples and figures. The book is a real walk through the fundamentals of robot kinematics, dynamics and joint level control, then camera models, image processing, feature extraction and epipolar geometry, and bring it all together in a visual servo system.
Additional material is provided at http://www.petercorke.com/RVC
Reviews
From the reviews:
“I like the book and the provided code. I think that this book is good to give you an overview of a bunch of key robotics topics … . If you are looking at testing an algorithm, getting a high level understanding, or getting a guide … to use the tool boxes then this book is for you. Also if you are a student looking to learn by implementation … then this book will be good for you.” (robotsforroticists.com, March, 2014)
“Good reading for starters in the field, but also for experienced researchers or practitioners. It is a pleasure to go through this book. It is written like an encyclopedia about robotics and computer vision … also, throughout the entire manuscript one can find the Matlab code for testing the presented theory. The author is also the creator of the two Matlab toolboxes robotics and machine vision, so there is probably no better way to understand and follow the topics than from the current book.” (Catalin Stoean, Zentralblatt MATH, Vol. 1233, 2012)
Authors and Affiliations
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School of Electrical Engineering and Computer Science, Queensland University of Technology (QUT) , Brisbane, Australia
Peter Corke
About the author
Peter Corke has been appointed new Editor of the IEEE Robotics and Automation Magazine.
The author is the organizer of the venerable Robotics Toolbox for Matlab http://www.petercorke.com/robot with 100.000 + downloads per year (as well as the Vision Toolbox for Matlab)
Bibliographic Information
Book Title: Robotics, Vision and Control
Book Subtitle: Fundamental Algorithms in MATLAB
Authors: Peter Corke
Series Title: Springer Tracts in Advanced Robotics
DOI: https://doi.org/10.1007/978-3-642-20144-8
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag GmbH Germany, part of Springer Nature 2011
eBook ISBN: 978-3-642-20144-8Published: 05 September 2011
Series ISSN: 1610-7438
Series E-ISSN: 1610-742X
Edition Number: 1
Number of Pages: XXIV, 570
Number of Illustrations: 43 b/w illustrations, 295 illustrations in colour
Topics: Robotics and Automation, Artificial Intelligence, Image Processing and Computer Vision, Signal, Image and Speech Processing, Machinery and Machine Elements, Cognitive Psychology