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.

Riassunto

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.

Dettagli sul prodotto

• Con la collaborazione di: Ashis Ghosh (Editore), Ferda Alpaslan et al (Editore), Srikanta Patnaik (Editore), Ashish Ghosh (Editore), Lakhmi C. Jain (Editore), Bruno Apolloni (Editore), Ferda Alpaslan (Editore)
• Editore: Springer, Berlin
• Contenuto: Libro
• Forma del prodotto: Copertina rigida
• Data pubblicazione: 22.09.2005
• Categoria: Scienze naturali, medicina, informatica, tecnica > Tecnica > Elettronica, elettrotecnica, telecomunicazioni
• EAN: 9783540265498
• ISBN: 978-3-540-26549-8
• Numero di pagine: 354
• Illustrazioni: X, 354 p.
• Dimensioni (della confezione): 15.7 x 24.2 x 2.3 cm
• Peso (della confezione): 780 g
• Serie: Studies in Computational Intelligence > 07; Studies in Computational Intelligence
• Categorie: B, Model, Künstliche Intelligenz, Robotics, Artificial Intelligence, Perception, Modeling, Robot, engineering, Reinforcement Learning, Electronic devices & materials, Control, Robotics, Mechatronics, Control, Robotics, Automation, Control engineering, Mechatronics, mobile robot