Machine Learning and Robot Perception

1. Auflage. Softcover version of original hardcover Auflage 2005
ISBN: 978-3-642-06586-6
Verlag: Springer

Buch, Englisch, 354 Seiten, Previously published in hardcover, Format (B × H): 155 mm x 235 mm, Gewicht: 557 g

Reihe: Studies in Computational Intelligence

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.

Zielgruppe

Research

Autoren/Hrsg.

Apolloni, Bruno

Ghosh, Ashish

Alpaslan, Ferda

Patnaik, Srikanta

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Wissensbasierte Systeme, Expertensysteme
• Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik Robotik
• Technische Wissenschaften Technik Allgemein Mess- und Automatisierungstechnik

Inhaltsverzeichnis

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.