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Libro
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- Genere: Libro
- Lingua: Inglese
- Editore: Springer Berlin Heidelberg
- Pubblicazione: 01/2013
- Edizione: 2005
Machine Learning and Robot Perception
apolloni bruno (curatore); ghosh ashish (curatore); alpaslan ferda (curatore); patnaik srikanta (curatore)
162,98 €
154,83 €
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TRAMA
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.SOMMARIO
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.ALTRE INFORMAZIONI
- Condizione: Nuovo
- ISBN: 9783642065866
- Collana: Studies in Computational Intelligence
- Dimensioni: 235 x 155 mm Ø 557 gr
- Formato: Brossura
- Illustration Notes: X, 354 p.
- Pagine Arabe: 354
- Pagine Romane: x