Local interaction and navigation guidance for hunters drones: a chase behavior approach with real-time tests - Archive ouverte HAL Access content directly
Journal Articles Robotica Year : 2022

Local interaction and navigation guidance for hunters drones: a chase behavior approach with real-time tests

Abstract

Abstract A behavioral-based strategy for cooperative hunting using drones is proposed in this paper. In this decentralized scheme, each drone acts as an individual agent computing its guidance strategy toward the target based on the relative position of its neighbors without the use of direct communication. The algorithm is based on the deviated pure pursuit methodology, and the emerged behavior mimics a natural hunting formation. Simulations and real-time experiments with varying conditions were carried out to validate the effectiveness of the proposed hunting scheme.
Fichier principal
Vignette du fichier
Robotica_localinteraction.pdf (2.04 Mo) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

hal-03842732 , version 1 (21-11-2022)

Identifiers

Cite

C. de Souza, Pedro Castillo Garcia, B. Vidolov. Local interaction and navigation guidance for hunters drones: a chase behavior approach with real-time tests. Robotica, 2022, 40 (8), pp.2697-2715. ⟨10.1017/S0263574721001910⟩. ⟨hal-03842732⟩
20 View
10 Download

Altmetric

Share

Gmail Facebook Twitter LinkedIn More