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(9 reviews)
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ISBN : 3642201431
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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.
Additional material is provided at http://www.petercorke.com/RVC
Books with free ebook downloads available Robotics, Vision and Control: Fundamental Algorithms in MATLAB Free Download
- Series: Springer Tracts in Advanced Robotics (Book 73)
- Paperback: 596 pages
- Publisher: Springer; 1st ed. 2011 edition (March 1, 2013)
- Language: English
- ISBN-10: 3642201431
- ISBN-13: 978-3642201431
- Product Dimensions: 1 x 8 x 10.5 inches
- Shipping Weight: 3.3 pounds
Robotics, Vision and Control: Fundamental Algorithms in MATLAB Free Download
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!
By Felipe N. Martins
Many texts and academic papers on robotics are either too theory oriented that they neglect the details of implementation (e.g. giving continuous formulas when there are relevant details omitted for the discrete implementation), or written at too high/abstract a level to do an effective implementation. This text is different. It first walks through the required background necessary to understand the theory and the algorithms. Then it gives interesting examples on how to explore the problem further in MATLAB. This is really a key point for undergraduate or early graduate students. By giving the reader just enough to explore the problem further in MATLAB (and even teaches you how to animate in MATLAB to visualize and simulate dynamics), the proactive student will be able to master both the theory and the implementation, and study the author's software in the toolboxes in context.
In addition to the content, the binding of this book is really well made. It feels like it is worth the money you have paid. Although it is a paperback, perhaps it should become a new standard style in publishing (while we are still fortunate enough to have hard copies of books). It is much lighter than the typical hardback textbook, yet the cover is durable with a plastic coating. This book is full of rich, full color diagrams, and the price of the book is an anomaly among engineering texts these days (even among Springer texts). I am impressed with the detail of the content for implementation, theory, and practical considerations and look forward to keeping this as a reference.
By S
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