DIMASS: A Delaunay-Inspired, Hybrid Approach to a Team of Agents Search Strategy.

ABSTRACT: This article describes an approach for multiagent search planning for a team of agents. A team of UAVs tasked to conduct a forest fire search was selected as the use case, although solutions are applicable to other domains. Fixed-path (e.g., parallel track) methods for multiagent search can produce predictable and structured paths, with the main limitation being poor management of agents' resources and limited adaptability (i.e., based on predefined geometric paths, e.g., parallel track, expanding square, etc.). On the other hand, pseudorandom methods allow agents to generate well-separated paths; but methods can be computationally expensive and can result in a lack of coordination of agents' activities. We present a hybrid solution that exploits the complementary strengths of fixed-patter

SUBMITTER: Yusuf SM 

PROVIDER: S-EPMC9277356 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature