Machine Learning and Robot Perception
Springer Berlin (Verlag)
978-3-642-06586-6 (ISBN)
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.
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.
Erscheint lt. Verlag | 2.1.2013 |
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Reihe/Serie | Studies in Computational Intelligence |
Zusatzinfo | X, 354 p. |
Verlagsort | Berlin |
Sprache | englisch |
Maße | 155 x 235 mm |
Gewicht | 557 g |
Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
Technik ► Elektrotechnik / Energietechnik | |
Schlagworte | Computer • computer vision • Image Processing • intelligent object • learning • machine • machine learning • Mobile Robot • Model • Modeling • Navigation • perception • Reinforcement Learning • robot • Robot Perception • Tracking |
ISBN-10 | 3-642-06586-4 / 3642065864 |
ISBN-13 | 978-3-642-06586-6 / 9783642065866 |
Zustand | Neuware |
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