Machine Learning and Robot Perception

Herausgegeben:Apolloni, Bruno; Ghosh, Ashish; Alpaslan, Ferda; Patnaik, Srikanta

• Broschiertes Buch

Produktbeschreibung

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.

Produktdetails

• Studies in Computational Intelligence 7
• Verlag: Springer / Springer Berlin Heidelberg / Springer, Berlin
• Artikelnr. des Verlages: 978-3-642-06586-6
• Seitenzahl: 354
• Erscheinungstermin: August 2013
• Englisch
• Abmessung: 236mm x 155mm x 19mm
• Gewicht: 571g
• ISBN-13: 9783642065866
• ISBN-10: 3642065864
• Artikelnr.: 32010535

Inhaltsangabe

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.