Robotics, Vision and Control: Fundamental Algorithms in MATLAB (Springer Tracts in Advanced Robotics)
|Rating||:||4.73 (503 Votes)|
|Number of Pages||:||570 Pages|
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. From the reviews:“I like the book and the provided code. 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. 1233, 2012). 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. It is a pleasure to go through this book. Also if you are a student looking to learn by implementation … then this book will be good for you.” (robotsforroticists, March
The author is the organizer of the venerable Robotics Toolbox for Matlab petercorke/robot with 100.000 + downloads per year (as well as the Vision Toolbox for Matlab)Peter Corke has been appointed new Editor of the IEEE Robotics and Automation Magazine.
jmsibal said Five Stars. great book. "understandable explanation with useful MATLAB examples" according to Seungkeun Kim. understandable explanation with useful MATLAB examples to graduate students who will potentially use vision and control algorithms in domains of aerospace, robotics, and others.. Great book! Felipe N. Martins 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 o
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. 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. Additional material is provided at petercorke/RVC. 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. For the student the book makes the algorithms accessible, the Toolbox code ca