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Modelling And Planning For Sensor Based Intelligent Robot Systems

By: H Bunke (Editor), T Kanade (Editor), H Noltemeier (Editor)

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Hardcover | 1 October 1995

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Hardcover
508 Pages

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22.86 x 16.51 x 3.18

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This edited and reviewed volume consists of papers that were originally presented at a workshop in the Scientific Center at Schloss Dagstuhl, Germany. It gives an overview of the field and presents the latest developments in the areas of modelling and planning for sensor based robots. The particular topics addressed include active vision, sensor fusion, environment modelling, motion planning, robot navigation, distributed control architectures, reactive behaviour, and others. Key contributors to this volume are: S. Arimoto, R. Bolles, H. Bunke, H. Christensen, R. Dillmann, T. Henderson, R. Jarvis, H. Noltemeier, U. Rembold, Y. Shirai, C. Torras.

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You Can Find This Book In

Non-Fiction Engineering & Technology Electronics & Communications Engineering Electronics Engineering Automatic Control Engineering Robotics Computing & I.T.Graphical & Digital Media Applications 3D Graphics & Modelling Technology in General Engineering in General Computer Science

Artificial Intelligence Booktopia Publisher Services World Scientific Publishing

Dynamic Environmental Modeling by the C-Tree	p. 3
Competitive Strategies for Autonomous Systems	p. 23
Boundary Extraction for Rasterized Motion Planning	p. 41
Efficient Exact Motion Planning in Realistic Environments	p. 51
Collision Detection: A Geometric Approach	p. 68
Robot Navigation: A Simple Guidance System for a Complex Changing World	p. 86
Geometric Motion Design	p. 104
Planning with Uncertainty of Vision	p. 120
Task-Directed Planning of Cooperating Sensors: A Framework	p. 143
How to Plan Under Uncertainty, and Use a Logical Action Model, Too	p. 160
Fusion-Rule Estimation in Multiple Sensor Systems Using Stochastic Approximation	p. 179
Sensor Fusion and Learning for Environmental Modelling	p. 191
Applications of Fractal Image Encoding	p. 209
Infrared Image Understanding	p. 223
Projective Reconstruction from Multiple Uncalibrated Images	p. 236
Exploration of Object Symmetries in Computer Vision and Robotics	p. 257
Function-Based Object Recognition	p. 272
Model-Based Multisensory Robot Vision	p. 289
Local Environment Modeling Through Integrated Stereo and Motion Analysis	p. 311
Localisation, Environmental Modelling and Path Planning for Autonomous Mobile Robot Navigation	p. 325
Hierarchical Control for Navigation Using Heterogeneous Models	p. 344
PRIAMOS: An Advanced Mobile System for Service, Inspection, and Surveillance Tasks	p. 362
A Distributed Control Architecture for Autonomous Robot Systems	p. 384
Representation and Planning for Behaviour-Based Robots	p. 403
Line Based Modelling from Laser Radar Data	p. 419
Bio-Based Control for Intelligent Autonomous Systems	p. 431
Grasping Unknown Objects	p. 445
Image-Guided Robotic Radiosurgery	p. 460
A Nonlinear Circuit Theory for Physically Understanding Dextrous Robot (Human) Motions	p. 471
Index	p. 489
Table of Contents provided by Blackwell. All Rights Reserved.

Modelling And Planning For Sensor Based Intelligent Robot Systems

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Hardcover

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