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ICRA
2006
IEEE
144views Robotics» more  ICRA 2006»
14 years 2 months ago
Adapting Probabilistic Roadmaps to Handle Uncertain Maps
Abstract— Randomized motion planning techniques are responsible for many of the recent successes in robot control. However, most motion planning algorithms assume perfect and com...
Patrycja E. Missiuro, Nicholas Roy
IV
2005
IEEE
121views Visualization» more  IV 2005»
14 years 2 months ago
PlanningLines: Novel Glyphs for Representing Temporal Uncertainties and Their Evaluation
Dealing with temporal uncertainties is a key issue in domains like project management or medical treatment planning. However, support for temporal indeterminacies is not very well...
Wolfgang Aigner, Silvia Miksch, Bettina Thurnher, ...
AIM
1998
13 years 8 months ago
Computer Bridge - A Big Win for AI Planning
A computer program that uses AI planning techniques is now the world’s best program for the game of contract bridge. As reported in The New York Times and The Washington Post, t...
Stephen J. J. Smith, Dana S. Nau, Thomas A. Throop
AAI
2005
117views more  AAI 2005»
13 years 8 months ago
Machine Learning in Hybrid Hierarchical and Partial-Order Planners for Manufacturing Domains
The application of AI planning techniques to manufacturing systems is being widely deployed for all the tasks involved in the process, from product design to production planning an...
Susana Fernández, Ricardo Aler, Daniel Borr...
TROB
2002
212views more  TROB 2002»
13 years 8 months ago
Path planning for robust image-based control
Abstract-- Vision feedback control loop techniques are efficient for a large class of applications but they come up against difficulties when the initial and desired robot position...
Youcef Mezouar, François Chaumette