This book presents the refereed proceedings of the International Workshop on Reasoning with Uncertainty in Robotics, RUR'95, held in Amsterdam, The Netherlands, in December 1995.
The book contains 13 revised full papers carefully selected for presentation during the workshop together with six invited papers. Also included are two comprehensive tutorial texts and an introduction by the volume editors. Thus the book is both a competent state-of-the-art report on current research and development and a valuable survey and introduction for researchers entering the area or professionals interested in the application of up-to-date techniques.
Author(s): Leo Dorst, Michiel van Lambalgen, Frans Voorbraak (auth.), Leo Dorst, Michiel van Lambalgen, Frans Voorbraak (eds.)
Series: Lecture Notes in Computer Science 1093 : Lecture Notes in Artificial Intelligence
Edition: 1
Publisher: Springer-Verlag Berlin Heidelberg
Year: 1996
Language: English
Pages: 395
Tags: Artificial Intelligence (incl. Robotics); Control Engineering; Pattern Recognition
Introduction....Pages 1-6
Mathematical foundations of navigation and perception for an autonomous mobile robot....Pages 7-51
Reasoning with uncertainty in AI....Pages 52-90
Robot navigation: Integrating perception, environmental constraints and task execution within a probabilistic framework....Pages 91-130
Uncertainty reasoning in object recognition by image processing....Pages 131-145
Partially observable markov decision processes for artificial intelligence....Pages 146-163
An evidential approach to probabilistic map-building....Pages 164-170
Belief formation by constructing models....Pages 171-186
Causal relevance....Pages 187-208
The robot control strategy in a domain with dynamical obstacles....Pages 209-217
Reasoning about noisy sensors (and effectors) in the situation calculus....Pages 218-220
Recursive total least squares: An alternative to using the discrete kalman filter in robot navigation....Pages 221-234
A sensor-based motion planner for mobile robot navigation with uncertainty....Pages 235-247
Knowledge considerations in robotics....Pages 248-262
Neural network applications in sensor fusion for an autonomous mobile robot....Pages 263-278
Structuring uncertain knowledge with hierarchical bayesian networks....Pages 279-293
Uncertainty treatment in a surface filling mobile robot....Pages 294-306
Probabilistic map learning: Necessity and difficulties....Pages 307-321
Robot navigation with markov models: A framework for path planning and learning with limited computational resources....Pages 322-337
A refined method for occupancy grid interpretation....Pages 338-352
Sensor planning with bayesian decision theory....Pages 353-367
Perception-based self-localization using fuzzy locations....Pages 368-385
