Publication detail

Tactical behavior optimization for a UGV teams

HRDINA, J. VAŠÍK, P. ERYGANOV, I. JAN, M. ADÁMEK, R. JIŘÍ, P. DALIBOR, P.

Original Title

Tactical behavior optimization for a UGV teams

Type

conference paper

Language

English

Original Abstract

As combat increasingly shifts to robotic entities, these machines will progressively take over the roles traditionally performed by soldiers. A crucial aspect of future military robots is their ability to coordinate operations (swarming), which involves adapting each action to the real-time or projected joint operations landscape using available resources. This paper presents and explores a potential approach to adaptive and coordinated path planning for Unmanned Ground Vehicles (UGVs) in complex tactical environments. The task is mathematically modeled as a multi-criteria operational research problem, and a computer application has been developed to experiment with and test the proposed concept. The complexity of the solution and the overall significance of this field are areas of active research globally, and interest is growing, especially in light of a deteriorating security environment.

Keywords

cross-country movement; off-road navigation; SWARM; terrain analysis; UGV maneuver

Authors

HRDINA, J.; VAŠÍK, P.; ERYGANOV, I.; JAN, M.; ADÁMEK, R.; JIŘÍ, P.; DALIBOR, P.

Released

2. 9. 2024

Publisher

Cal-Tek srl

Location

Italie

ISBN

9791281988057

Book

Proceedings of the International Defense and Homeland Security Simulation Workshop, DHSS

Pages from

1

Pages to

6

Pages count

6

BibTex

@inproceedings{BUT198497,
  author="Jaroslav {Hrdina} and Petr {Vašík} and Ivan {Eryganov} and Mazal {Jan} and Roman {Adámek} and Plíhal {Jiří} and Procházka {Dalibor}",
  title="Tactical behavior optimization for a UGV teams",
  booktitle="Proceedings of the International Defense and Homeland Security Simulation Workshop, DHSS",
  year="2024",
  pages="1--6",
  publisher="Cal-Tek srl",
  address="Italie",
  doi="10.46354/i3m.2024.dhss.009",
  isbn="9791281988057"
}