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ORCIDReasoning with Uncertainty in Robotics 1995: Amsterdam, The Netherlands
- Leo Dorst, Michiel van Lambalgen, Frans Voorbraak:
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 - 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 - Enrique González, Adolfo Suárez, Carlos Moreno, Francis 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
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