Machine Learning and Robot Perception, 2005
Studies in Computational Intelligence Series, Vol. 7

Coordinators: Apolloni Bruno, Ghosh Ashish, Alpaslan Ferda, Patnaik Srikanta

Language: English

158.24 €

In Print (Delivery period: 15 days).

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Machine Learning and Robot Perception
Publication date:
354 p. · 15.5x23.5 cm · Paperback

158.24 €

Subject to availability at the publisher.

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Machine learning & robot perception, (St udies in computational intelligence, Vol. 7)
Publication date:
354 p. · 15.5x23.3 cm · Hardback

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.

Learning Visual Landmarks for Mobile Robot Topological Navigation.- Foveated Vision Sensor and Image Processing – A Review.- On-line Model Learning for Mobile Manipulations.- Continuous Reinforcement Learning Algorithm for Skills Learning in an Autonomous Mobile Robot.- Efficient Incorporation of Optical Flow into Visual Motion Estimation in Tracking.- 3-D Modeling of Real-World Objects Using Range and Intensity Images.- Perception for Human Motion Understanding.- Cognitive User Modeling Computed by a Proposed Dialogue Strategy Based on an Inductive Game Theory.
Presents some of the most recent research results in the area of machine learning and robot perception Includes supplementary material: sn.pub/extras