Machine Learning and Robot Perception
(Sprache: Englisch)
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...
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Klappentext zu „Machine Learning and Robot Perception “
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.
Inhaltsverzeichnis zu „Machine Learning and Robot Perception “
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.
Bibliographische Angaben
- 2013, X, 354 Seiten, Masse: 15,5 x 23,6 cm, Kartoniert (TB), Englisch
- Herausgegeben: Bruno Apolloni, Ashish Ghosh, Ferda Alpaslan, Srikanta Patnaik
- Verlag: Springer, Berlin
- ISBN-10: 3642065864
- ISBN-13: 9783642065866
Sprache:
Englisch
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