Abstract— Real-world robotic environments are highly structured. The scalability of planning and reasoning methods to cope with complex problems in such environments crucially de...
Abstract. Research on practical models of autonomous agents has largely focused on a procedural view of goal achievement. This allows for efficient implementations, but prevents an...
Abstract. In this paper, we describe a novel approach to tackle intention recognition, by combining dynamically configurable and situation-sensitive Causal Bayes Networks plus pla...
Abstract— We present a path planning method for autonomous underwater vehicles in order to maximize mutual information. We adapt a method previously used for surface vehicles, an...
Jonathan Binney, Andreas Krause, Gaurav S. Sukhatm...
Abstract. We consider the line planning problem in public transportation, under a robustness perspective. We present a mechanism for robust line planning in the case of multiple li...
Apostolos Bessas, Spyros C. Kontogiannis, Christos...