Machine Learning and Robot Perception (häftad)
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Format
Häftad (Paperback / softback)
Språk
Engelska
Antal sidor
354
Utgivningsdatum
2013-01-02
Upplaga
2005
Förlag
Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Medarbetare
Apolloni, Bruno (ed.), Ghosh, Ashish (ed.), Alpaslan, Ferda (ed.), Patnaik, Srikanta (ed.)
Illustratör/Fotograf
4 schwarz-weiße Tabellen 103 schwarz-weiße und 67 farbige Abbildungen
Illustrationer
X, 354 p.
Dimensioner
235 x 155 x 19 mm
Vikt
557 g
Antal komponenter
1
Komponenter
1 Paperback / softback
ISBN
9783642065866

Machine Learning and Robot Perception

av Bruno Apolloni, Ashish Ghosh, Ferda Alpaslan, Srikanta Patnaik
Häftad,  Engelska, 2013-01-02
1698
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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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Fler böcker av författarna

Bruno Apolloni, Ashish Ghosh, Ferda Alpaslan, Srikanta Patnaik

Innehållsförteckning

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.

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