Optimized flocking of autonomous drones in confined environments-Reference-Cited by-同舟云学术

Optimized flocking of autonomous drones in confined environments

Author:

Vásárhelyi Gábor¹²^ORCID,Virágh Csaba²,Somorjai Gergő¹²,Nepusz Tamás³^ORCID,Eiben Agoston E.⁴^ORCID,Vicsek Tamás¹²^ORCID

Affiliation:

1. Statistical and Biological Physics Research Group of the Hungarian Academy of Sciences, Pázmány Péter sétány 1/A, 1117 Budapest, Hungary.

2. Department of Biological Physics, Eötvös Loránd University, Pázmány Péter sétány 1/A, 1117 Budapest, Hungary.

3. Molde University College, Britvegen 2, 6410 Molde, Norway.

4. Department of Computer Science, Vrije Universiteit Amsterdam, de Boelelaan 1081a, 1181HV Amsterdam, Netherlands.

Abstract

A flocking model that uses an evolutionary optimization framework is validated with a self-organized swarm of 30 drones.

Funder

U.S. Air Force

Hungarian Academy of Sciences

Hungarian National Research, Development and Innovation Office

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Artificial Intelligence,Control and Optimization,Computer Science Applications,Mechanical Engineering

Reference57 articles.

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