Machine Learning and Robot Perception

✍ Scribed by Bruno Apolloni, Ashish Ghosh, Ferda Alpaslan, Srikanta Patnaik

Publisher: Springer-Verlag
Year: 2011
Tongue: English
Leaves: 357
Series: Studies in computational intelligence 7 1860-949X
Edition: 1
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

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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