It is written in an accessible but informative style, easy to read and absorb, and includes over 1000 MATLAB and SimulinkĀ® examples and over 400 figures. The topics covered are guided by real problems observed by the author over many years as a practitioner of both robotics and computer vision. Using the latest versions of the Toolboxes the author shows how complex problems can be decomposed and solved using just a few simple lines of code. It weaves together theory, algorithms and examples in a narrative that covers robotics and computer vision separately and together. This book makes the fundamental algorithms of robotics, vision and control accessible to all. They provide implementations of many important algorithms and allow users to work with real problems, not just trivial examples. For over 20 years the author has maintained two open-source MATLABĀ® Toolboxes, one for robotics and one for vision. The research community has developed a large body of such algorithms but for a newcomer to the field this can be quite daunting. Robotic vision, the combination of robotics and computer vision, involves the application of computer algorithms to data acquired from sensors.
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