Artificial Intelligence Applied to Drone Control: A State of the Art

Author:

Caballero-Martin Daniel12ORCID,Lopez-Guede Jose Manuel12ORCID,Estevez Julian13ORCID,Graña Manuel14ORCID

Affiliation:

1. Group of Computational Intelligence, University of the Basque Country, UPV/EHU, 20018 San Sebastian, Spain

2. Faculty of Engineering of Alava, University of the Basque Country, UPV/EHU, C/Nieves Cano 12, 01006 Vitoria-Gasteiz, Spain

3. Faculty of Engineering of Gipuzkoa, University of the Basque Country, UPV/EHU, Europa Plaza 1, 20018 San Sebastian, Spain

4. Faculty of Computer Science, University of the Basque Country, UPV/EHU, Paseo Manuel de Lardizabal 1, 20018 San Sebastian, Spain

Abstract

The integration of Artificial Intelligence (AI) tools and techniques has provided a significant advance in drone technology. Besides the military applications, drones are being increasingly used for logistics and cargo transportation, agriculture, construction, security and surveillance, exploration, and mobile wireless communication. The synergy between drones and AI has led to notable progress in the autonomy of drones, which have become capable of completing complex missions without direct human supervision. This study of the state of the art examines the impact of AI on improving drone autonomous behavior, covering from automation to complex real-time decision making. The paper provides detailed examples of the latest developments and applications. Ethical and regulatory challenges are also considered for the future evolution of this field of research, because drones with AI have the potential to greatly change our socioeconomic landscape.

Funder

Vitoria-Gasteiz Mobility Lab Foundation

Publisher

MDPI AG

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