This paper considers a robot with multiple sensors navigating an unknown, heterogeneous environment. In these cases sensor errors may produce an unsuitable model of the world. For...
Goal-directed Markov Decision Process models (GDMDPs) are good models for many decision-theoretic planning tasks. They have been used in conjunction with two different reward stru...
We study decision-theoretic planning or reinforcement learning in the presence of traps such as steep slopes for outdoor robots or staircases for indoor robots. In this case, achi...
The ability to achieve one’s goals is a defining characteristic of intelligent behaviour. A great many existing theories, systems and research programmes address the problems a...
Abstract. Human-Artifact interaction in real world situations is currently an active area of research due to the importance foreseen of the social capabilities of near future robot...