Nirabhra Mandal

Behaviorally Heterogeneous Multi-Agent Exploration Using Distributed Task Allocation

We study a problem of multi-agent exploration with behaviorally heterogeneous robots. Each robot maps its surroundings using SLAM and identifies a set of areas of interest (AoIs) or frontiers that are the most informative to explore next. The robots assess the utility of going to a frontier using <i