Reasoning with Uncertainty in Robotics 1995: Amsterdam, The Netherlands

Leo Dorst, Michiel van Lambalgen, Frans Voorbraak (Eds.): Reasoning with Uncertainty in Robotics, International Workshop, RUR '95, Amsterdam, The Netherlands, December 4-6, 1995, Proceedings. Lecture Notes in Computer Science 1093 Springer 1996, ISBN 3-540-61376-5

@proceedings{DBLP:conf/rur/1995,
  editor    = {Leo Dorst and
               Michiel van Lambalgen and
               Frans Voorbraak},
  title     = {Reasoning with Uncertainty in Robotics, International Workshop,
               RUR '95, Amsterdam, The Netherlands, December 4-6, 1995, Proceedings},
  booktitle = {Reasoning with Uncertainty in Robotics},
  publisher = {Springer},
  series    = {Lecture Notes in Computer Science},
  volume    = {1093},
  year      = {1996},
  isbn      = {3-540-61376-5},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

Leo Dorst, Michiel van Lambalgen, Frans Voorbraak: Introduction. 1-6

Tutorials

James L. Crowley: Mathematical Foundations of Navigation and Perception for an Autonomous Mobile Robot. 9-51
Frans Voorbraak: Reasoning with Uncertainty in AI. 52-90

Invited Lectures

Alberto Elfes: Robot Navigation: Integrating Perception, Environmental Constraints and Task Execution Within a Probabilistic Framework. 93-130
Robert A. Hummel: Uncertainty Reasoning in Object Recognition by Image Processing. 131-145
Leslie Pack Kaelbling, Michael L. Littman, Anthony R. Cassandra: Partially Observable Markov Decision Processes for Artificial Intelligence. 146-163
Daniel Pagac, Eduardo Mario Nebot, Hugh F. Durrant-Whyte: An Evidential Approach to Probabilistic Map-Building. 164-170
Jeff B. Paris, Alena Vencovská: Belief Formation by Constructing Models. 171-186
Glenn Shafer: Causal Relevance. 187-208

Accepted Papers

G. V. Alferov, O. A. Malafeyev: The Robot Control Strategy in a Domain with Dynamical Obstacles. 211-217
Fahiem Bacchus, Joseph Y. Halpern, Hector J. Levesque: Reasoning about Noisy Sensors (and Effectors) in the Situation Calculus. 218-220
Daniel Boley, Erik S. Steinmetz, Karen T. Sutherland: Recursive Total Least Squares: An Alternative to Using the Discrete Kalman Filter in Robot Navigation. 221-234
Bertrand Bouilly, Thierry Siméon: A Sensor-Based Motion Planner for Mobile Robot Navigation with Uncertainty. 235-247
Ronen I. Brafman, Yoav Shoham: Knowledge Considerations in Robotics. 248-262
Joris W. M. van Dam, Ben J. A. Kröse, Frans C. A. Groen: Neural Network Applications in Sensor Fusion for an Autonomous Mobile Robot. 263-278
Thorsten Fröhlinghaus: Structuring Uncertain Knowledge with Hierarchical Bayesian Networks. 279-293
E. González, A. Suárez, C. Moreno, F. Artigue: Uncertainty Treatment in a Surface Filling Mobile Robot. 294-306
Patrick Hébert, Stéphane Betgé-Brezetz, Raja Chatila: Probabilistic Map Learning: Necessity and Difficulties. 307-321
Sven Koenig, Richard Goodwin, Reid G. Simmons: Robot Navigation with Markov Models: A Framework for Path Planning and Learning with Limited Computational Resources. 322-337
Kurt Konolige: A Refined Method for Occupancy Grid Interpretation. 338-352
Steen Kristensen: Sensor Planning with Bayesian Decision Theory. 353-367
Alessandro Saffiotti, Leonard P. Wesley: Perception-Based Self-Localization Using Fuzzy Locations. 368-385