Machine Learning and Robot Perception

• Corporate Author: SpringerLink (Online service)
• Other Authors: Apolloni, Bruno (Editor), Ghosh, Ashish (Editor), Alpaslan, Ferda (Editor), Jain, Lakhmi C. (Editor), Patnaik, Srikanta (Editor)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2005.
• Series: Studies in Computational Intelligence, 7
• Subjects: Engineering.; Artificial intelligence.; Control engineering.; Robotics.; Mechatronics.; Control, Robotics, Mechatronics.; Artificial Intelligence (incl. Robotics).
• Physical Description: X, 354 p. online resource.
• ISBN: 9783540324096
• ISSN: 1860-949X ;

This book presents some of the most recent research results in the area of machine learning and robot perception. The chapters represent new ways of solving real-world problems. The book covers topics such as intelligent object detection, foveated vision systems, online learning paradigms, reinforcement learning for a mobile robot, object tracking and motion estimation, 3D model construction, computer vision system and user modelling using dialogue strategies. This book will appeal to researchers, senior undergraduate/postgraduate students, application engineers and scientists.