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Presenter(s)
![Luca Gorghetto Headshot](https://confcats-catavault.s3.amazonaws.com/CATAVault/ieeecass/master/files/styles/cc_user_photo/s3/user-pictures/7319162.png?h=c32c2742&itok=-8TwIyBH)
Display Name
Luca Gorghetto
- Affiliation
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AffiliationUniversità degli Studi di Padova
- Country
Abstract
Drones offer opportunities for networking and control solutions, but also challenges when it comes to their coordination. In this paper, we apply a game theoretic model to multi-agent drone scenarios, to regulate their movement so as to ensure timely positioning but avoiding collisions. Simulations are led through the Nash-Q learning algorithm in order to prove the theoretical analysis and confirm their predicted trajectory dynamics. The results of this work can be exploited as a tool to provide insights for multi-agent control.