Robotics, vision and control : fundamental algorithms in MATLAB
Author(s)
Bibliographic Information
Robotics, vision and control : fundamental algorithms in MATLAB
（Springer tracts in advanced robotics, 73）
Springer, c2011
Related Bibliography 1 items
Available at / 19 libraries
-
No Libraries matched.
- Remove all filters.
Note
With 393 images, additional material is provided at www.petercorke.com/RVC
Includes bibliographical references (p. [543]-552) and index
Corrected second printing 2013
Description and Table of Contents
Description
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
Table of Contents
Introduction.- Representing Position and Orientation.- Time and Motion.- Mobile Robot Vehicles.- Navigation.- Localization.- Robot Arm Kinematics.- Velocity Relationships.- Dynamics and Control.- Light and Color.- Image Formation.- Image Processing.- Image Feature Extraction.- Using Multiple Images.- Vision-Based Control.- Advanced Visual Servoing
by "Nielsen BookData"
