Loïs Vanhée

Loïs Vanhée
Post-doc at GREYC, Caen

Research Interests:
I am doctor in Computer Science, Multi-Agent Systems, both from the University of Montpellier 2 (France) and the University of Utrecht (The Netherlands). My research interests combine Multi-Agent Systems, Stochastic Planning (Markov Decision Processes) and Robotics. I am currently hired for studying how to foster the collaboration between multiple humans and robots. I recently formalized and solved Advice-MDPs (Markov Decision Processes augmented with human advising) and the Dynamic Maximum Coverage Problem (adapting the positionning of a team of robots for best covering the surroundings of rescuers on the move, featuring anticipation, detailed perception models, coverage optimization, and multi-robot coordination). I will soon be involved in a project for deploying robots in hospitals. As a parallel track, I continue the research initiated during my thesis: how to model human cultures and how to use such models for fostering multi-agent collaboration. My field of expertise ranged from building models of human cultures, social simulations, and the design of culturally-sensitive autonomous agents.

I am currently working at the GREYC laboratory on the GARDES project in the MAD team. This project studies the design of teams composed of humans and robots for patrol missions.

Contact Information:

Email:lois.vanhee 'at' gmail.com
Address: GREYC
Universite de Caen Normandie
Campus Cote de Nacre, Boulevard du Marechal Juin
CS 14032
14032 CAEN cedex 5