<p><p>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 barri
Robotics, Vision and Control: Fundamental Algorithms in MATLABยฎ
โ Scribed by Peter Corke (auth.)
- Publisher
- Springer-Verlag Berlin Heidelberg
- Year
- 2011
- Tongue
- English
- Leaves
- 558
- Series
- Springer Tracts in Advanced Robotics 73
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
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 โ 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 โinstant 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.
โฆ Table of Contents
Front Matter....Pages -
Introduction....Pages 1-11
Front Matter....Pages 13-13
Representing Position and Orientation....Pages 15-41
Time and Motion....Pages 43-57
Front Matter....Pages 59-62
Mobile Robot Vehicles....Pages 65-86
Navigation....Pages 87-106
Localization....Pages 107-131
Front Matter....Pages 133-135
Robot Arm Kinematics....Pages 137-170
Velocity Relationships....Pages 171-190
Dynamics and Control....Pages 191-218
Front Matter....Pages 219-221
Light and Color....Pages 223-250
Image Formation....Pages 251-283
Image Processing....Pages 285-333
Image Feature Extraction....Pages 335-379
Using Multiple Images....Pages 381-449
Front Matter....Pages 451-453
Vision-Based Control....Pages 455-479
Advanced Visual Servoing....Pages 481-495
Back Matter....Pages -
โฆ Subjects
Robotics and Automation; Artificial Intelligence (incl. Robotics); Image Processing and Computer Vision; Signal, Image and Speech Processing; Machinery and Machine Elements; Cognitive Psychology
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