François LEGRAS

Dépt. Optique

Téléphone :
Télécopie : 02 29 00 10 25
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SUSIE (2009-2012)

French MoD: research project for DGA/D4S/MRIS "Supervising Swarm Intelligence".

Partners: TELECOM Bretagne, INRIA LORIA.

FHPA (2008-2011)

French MoD: PEA "Etude des facteurs humains et partage d’autorité homme/système dans les systèmes de drones"

This project tackles Human Factors in the next generation of UAV systems for the French MoD. This includes definition of authority sharing concepts and function allocation between operators, ground control systems, and UAVs; operator-system interaction; UAV operator profile definition; etc.

Industrial Partners: Bertin Technologie, Py Automation, SAGEM DS, EADS DS


HUMOUS'08, the First International Conference on Humans Operating Unmanned systems was held in Brest, France, 3-4 Sept. 2008.

MANIF  (2006-2008)

ANR / N° 06-SECU-014-06.

The ANR (French National Research Agency) MANIF project studies the deployment of UAVs by security forces in the context of crowd monitoring, urban violence, etc.

Partners: Bertin Technologies, PY Automation, Martec, Sofema, Cogisys, TELECOM Bretagne.

SMAART (2006-2008)
French MoD: DGA/D4S/MRIS 05.34.018. Project

It is emphasized in numerous prospective studies that the development of swarms of Unmanned Aerial Vehicules (UAV) should be important in the next years. However, the design of these new multi-agent systems involves to take up many challenges. In particular, reducing the number of operators requires to define new interfaces in order to interact with such autonomous multirobot systems. We present an approach that allows one operator to control a swarm of UAVs in the context of simulated patrolling and pursuit tasks. Self-organized control relying on digital pheromones, as well as authority sharing based on several operating modes are defined. Experiments with human operators on the simulated system show that the combination of the two approaches is effective.

PY Automation, INRIA/LORIA, TELECOM Bretagne, Alyotech.


PhD. Thesis (2000-2003)

Dynamic organization of teams of autonomous agents through overhearing

PDF (in French).

Within the field of multi-agent systems (MASs), communication is often viewed as an abstract and dyadic process. In this thesis, we argue that MASs can profit from overhearing, a form of communication found in human activity that can be used to give robustness and flexibility to their structure.

To this end, we propose the star model, which allows a MAS to use overhearing to dynamically adopt a structure based on leader-centered groups, following the evolution of limited and dynamic communication possibilities. This model provides a framework for the agents' activities that imposes constraints on the agents' decision processes (most notably coherence), but allows them to use every message that they receive (even if they are not the intended recipients) to update their representations of the MAS organization, and thereby facilitating the overall activity of the MAS.

On the one hand, we develop several elements in order to exploit this model (a language with associated semantics, an update mechanism and an algorithm). On the other hand, two series of experiments (OTTO and LOTTO) allow us to study the effects of the variation of several parameters on the behavior of the model.

Keywords: multi-agent systems, communication, overhearing.

Technopôle Brest-Iroise - CS 83818 - 29238 Brest Cedex 3 - France
Tél : 33 (0)2 29 00 11 11 - Fax : 33 (0)2 29 00 10 00