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Abstract
In this paper, we investigate the concept of polymorphism in the context of artificial swarms; that is, collectives of autonomous platforms such as, for example, unmanned aerial systems. This article provides the reader with two practical insights: (a) a proof-of-concept simulation study to show that there is a clear benefit to be gained from considering polymorphic artificial swarms; and (b) a discussion on the design of user-friendly human–machine interfaces for swarm control to enable the human operator to harness these benefits.
Original language | English |
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Article number | 53 |
Number of pages | 25 |
Journal | Drones |
Volume | 9 |
Issue number | 1 |
DOIs | |
Publication status | Published - 13 Jan 2025 |
MoE publication type | A1 Journal article-refereed |
Funding
This research is funded by the Research Council of Finland (project grant number 348010) and conducted as part of the Unmanned aerial systems based solutions for real-time management of wildfires (FireMan) project.
Keywords
- AUV
- ConOps
- HMI
- human factors
- ISR
- polymorphic swarms
- self-organization
- UGV
- UxV
- wildfire
Fingerprint
Dive into the research topics of 'The Why and How of Polymorphic Artificial Autonomous Swarms'. Together they form a unique fingerprint.Projects
- 1 Finished
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FireMan: Unmanned aerial systems based solutions for real-time management of wildfires
Saffre, F. (PI), Karvonen, H. (Participant), Lind, T. (Participant) & Sassi, J. (Manager)
1/01/22 → 31/12/24
Project: Academy of Finland project