Machine Learning and Robot Perception By Mario Mata, Jose Maria Armingol (auth.), Professor Bruno Apolloni, Professor Ashish Ghosh, Professor Ferda Alpaslan, Professor Lakhmi C. Jain, Professor Srikanta Patnaik (eds.)
2005 | 354 Pages | ISBN: 354026549X | PDF | 10 MB
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.
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