Multi-Robot Task Planning to Secure Human Group Progress
Résumé
Recent years have seen an increasing number of deployment of fleets of autonomous vehicles. As
the problem scales up, in terms of autonomous vehicles number and complexity of their objectives,
there is a growing need for decision-support tooling to help the operators in controlling the fleet.
In this paper, we present an automated planning system developed to assist the operators in the
CoHoMa II challenge, where a fleet of robots, remotely controlled by a handful of operators, must
explore and progress through a potential hostile area. In this context, we use planning to provide the
operators with suggestions about the actions to consider and their allocation to the robots.
This paper especially focus on the modelling of the problem as a hierarchical planning problem
for which we use a state-of-the-art automated solver.
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