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Robotics, Vision and Control: Fundamental Algorithms in MATLAB (Springer Tracts in Advanced Robotics) 1st ed. 2011 Edition
Author: Peter Corke ID: 3642201431
Review
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)
From the Back Cover
The practice of robotics and computer vision both involve the application of computational algorithms to data. Over the fairly recent history of the fields of robotics and computer vision a very large body of algorithms has been developed. However this body of knowledge is something of a barrier for anybody entering the field, or even looking to see if they want to enter the field What is the right algorithm for a particular problem?, and importantly, How can I try it out without spending days coding and debugging it from the original research papers?
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.
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Series: Springer Tracts in Advanced Robotics (Book 73)Paperback: 570 pagesPublisher: Springer; 1st ed. 2011 edition (March 1, 2013)Language: EnglishISBN-10: 3642201431ISBN-13: 978-3642201431 Product Dimensions: 10.4 x 7.7 x 1 inches Shipping Weight: 3.3 pounds (View shipping rates and policies) Best Sellers Rank: #193,095 in Books (See Top 100 in Books) #9 in Books > Engineering & Transportation > Engineering > Telecommunications & Sensors > Signal Processing #18 in Books > Engineering & Transportation > Engineering > Electrical & Electronics > Electric Machinery & Motors #37 in Books > Textbooks > Computer Science > Artificial Intelligence
Pretty much covers all the essentials for programming / control of robots in conjunction with vision systems. Not limited to conventional 6 dof, coordinate based systems. In conjunction with the Matlab tool boxes provided, is an outstanding asset for developing complex robotic / vision systems.
understandable explanation with useful MATLAB examples to graduate students who will potentially use vision and control algorithms in domains of aerospace, robotics, and others.
This is a great book for those who want to practice robotic concepts in MATLAB! The (free) robotics toolbox is a great tool to work with manipulators, and the book has several examples with real robots (like the famous PUMA). It also has some useful tools for mobile robots, but it only deals with the car-like and the quadrotor models. It misses the widely applied unicycle model, although it is ease to adapt the toolbox to work with the unicycle as well.
I didn’t have time to get to the machine vision part, but the final part of the book unites robotics and machine vision, dealing with visual control for robots.
I think it is a very nice book for everybody that works with robotics!
Robotics Vision and Control Fundamental Algorithms Robotics Vision and Control Fundamental Algorithms in MATLAB Springer Tracts in Advanced Robotics Springer Tracts in Advanced Robotics 1st ed 2011 EditionRobotics Vision and Control Fundamental Algorithms Robotics Vision and Control Fundamental Algorithms the creator of the two Matlab toolboxes robotics and machine vision Springer Tracts in Advanced RoboticsBy Peter Corke Robotics Vision and Control Fundamental By Peter Corke Robotics Vision and Control Fundamental Algorithms in MATLAB Springer Tracts in Advanced Robotics 1st ed 2011 Paperback on Robotics Vision and Control Fundamental Robotics Vision and Control Fundamental Publisher Springer 1st ed 2011 edition Fundamental Algorithms in MATLAB Springer Tracts in Advanced Robotics
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. If you are looking at testing an algorithm, getting a high level understanding, or getting a guide 
What is the right algorithm for a particular problem?, and importantly, How can I try it out without spending days coding and debugging it from the original research papers?