Ebook: Machine Learning and Robot Perception
- Tags: Automation and Robotics, Artificial Intelligence (incl. Robotics)
- Series: Studies in Computational Intelligence 7
- Year: 2005
- Publisher: Springer-Verlag Berlin Heidelberg
- Edition: 1
- Language: English
- pdf
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.
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.
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.
Content:
Front Matter....Pages -
Learning Visual Landmarks for Mobile Robot Topological Navigation....Pages 1-55
Foveated Vision Sensor and Image Processing – A Review....Pages 57-98
On-line Model Learning for Mobile Manipulations....Pages 99-135
Continuous Reinforcement Learning Algorithm for Skills Learning in an Autonomous Mobile Robot....Pages 137-165
Efficient Incorporation of Optical Flow into Visual Motion Estimation in Tracking....Pages 167-202
3-D Modeling of Real-World Objects Using Range and Intensity Images....Pages 203-264
Perception for Human Motion Understanding....Pages 265-324
Cognitive User Modeling Computed by a Proposed Dialogue Strategy Based on an Inductive Game Theory....Pages 325-351
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.
Content:
Front Matter....Pages -
Learning Visual Landmarks for Mobile Robot Topological Navigation....Pages 1-55
Foveated Vision Sensor and Image Processing – A Review....Pages 57-98
On-line Model Learning for Mobile Manipulations....Pages 99-135
Continuous Reinforcement Learning Algorithm for Skills Learning in an Autonomous Mobile Robot....Pages 137-165
Efficient Incorporation of Optical Flow into Visual Motion Estimation in Tracking....Pages 167-202
3-D Modeling of Real-World Objects Using Range and Intensity Images....Pages 203-264
Perception for Human Motion Understanding....Pages 265-324
Cognitive User Modeling Computed by a Proposed Dialogue Strategy Based on an Inductive Game Theory....Pages 325-351
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