Vision for Robotics

Reviews aspects of robot vision from its early beginnings to the most recent research. The book focuses primarily on some of the work that goes beyond the use of artificial landmarks and fiducial markers for the purpose of implementing vision-based control in robots.

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Robot vision refers to the capability of a robot to visually perceive the environment and use this information to execute different tasks. Visual feedback has been used extensively for robot navigation and obstacle avoidance. In recent years, there have also been examples that include interaction with people and manipulation of objects.

Vision in Robotics reviews aspects of robot vision from its early beginnings to the most recent research. It focuses primarily on some of the work that goes beyond the use of artificial landmarks and fiducial markers for the purpose of implementing vision-based control in robots. It discusses various application areas, both from the systems perspective and individual problems such as object tracking and recognition.

This is an ideal and current reference for researchers and professionals working in the fields of machine vision, image processing, and pattern recognition. Its extensive bibliography serves as an invaluable guide to current research.