Research group: Artificial Intelligence, and Autonomous Reasoning and decision-making in complex and uncertain environments
Tutors: Pr Maroua Bouzid and Dr Laurent Jeanpierre
Spatial knowledge about an environment can be useful for computing plans for agents navigating from one location to another one. From the point of view of computational efficiency, it allows incremental computation of itineraries starting from an abstract description towards a more refined description. From the social perspective in the human-robot interaction context, it allows more understandable descriptions of detailed itineraries, for instance to humans, at a more abstract way where manipulated spatial information can be quantitative, qualitative and fuzzy.
Towards these motivational goals, utilizing spatial knowledge for navigational planning involves various challenges: hierarchical representation of qualitative/quantitative spatial knowledge, computational methods to refine an abstract navigation plan and to summarize a detailed navigation plan, and computational methods for reasoning over abstract/detailed navigation plans of multiple agents. This PhD program is developed in the context of COACHES project (https://coaches.greyc.fr) and in collaboration of our partner from the university of Sebanci.
* Applications *must* be sent to firstname.lastname@example.org
* Application deadline: June 2nd, 2017.