Machine Learning and Robot Perception

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Apolloni, Bruno (Επιμελητής έκδοσης), Ghosh, Ashish (Επιμελητής έκδοσης), Alpaslan, Ferda (Επιμελητής έκδοσης), Jain, Lakhmi C. (Επιμελητής έκδοσης), Patnaik, Srikanta (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2005.
• Σειρά: Studies in Computational Intelligence, 7
• Θέματα: Engineering.; Artificial intelligence.; Control engineering.; Robotics.; Mechatronics.; Control, Robotics, Mechatronics.; Artificial Intelligence (incl. Robotics).
• Φυσική περιγραφή: X, 354 p. online resource.
• ISBN: 9783540324096
• ISSN: 1860-949X ;

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.