Robotic vision the combination of robotics and computer vision involves the application of
computer algorithms to data acquired from sensors. The research community has developed a large
body of such algorithms but for a newcomer to the field this can be quite daunting. For over 20
years the author has maintained two open-source MATLAB® Toolboxes one for robotics and one for
vision. They provide implementations of many important algorithms and allow users to work with
real problems not just trivial examples. This book makes the fundamental algorithms of
robotics vision and control accessible to all. It weaves together theory algorithms and
examples in a narrative that covers robotics and computer vision separately and together. 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. The topics covered are guided by real
problems observed by the author over many years as a practitioner of both robotics and computer
vision. It is written in an accessible but informative style easy to read and absorb and
includes over 1000 MATLAB and Simulink® examples and over 400 figures. The book is a real walk
through the fundamentals of mobile robots arm robots. then camera models image processing
feature extraction and multi-view geometry and finally bringing it all together with an
extensive discussion of visual servo systems. This second edition is completely revised
updated and extended with coverage of Lie groups matrix exponentials and twists inertial
navigation differential drive robots lattice planners pose-graph SLAM and map making
restructured material on arm-robot kinematics and dynamics series-elastic actuators and
operational-space control Lab color spaces light field cameras structured light bundle
adjustment and visual odometry and photometric visual servoing. An authoritative book
reaching across fields thoughtfully conceived and brilliantly accomplished! OUSSAMA KHATIB
Stanford
