IROS 2022poster4 citations

Real-Time Distributed Multi-Robot Target Tracking via Virtual Pheromones

Joseph Prince Mathew, Cameron Nowzari

Abstract

Actively searching for targets using a multi-agent system in an unknown environment poses a two-pronged prob-lem, where on the one hand we need agents to cover as much of the environment as possible and on the other have a higher density of agents where there are potential targets to maximize detection performance. This paper proposes a fully distributed solution for an ad hoc network of agents to cooperatively search an unknown environment and actively track found targets. The solution combines a distributed pheromone-based coverage control strategy with a distributed target selection mechanism.

BibTeX
@inproceedings{iros2022_realtimedistribu,
  title = {Real-Time Distributed Multi-Robot Target Tracking via Virtual Pheromones},
  author = {Joseph Prince Mathew and Cameron Nowzari},
  booktitle = {IROS 2022},
  year = {2022}
}
Real-Time Distributed Multi-Robot Target Tracking via Virtual Pheromones · IROS 2022