Andrey M. Boyko
PhD in Physics and Mathematics, Ioffe Institute, Research Scientist, 26, Politekhnicheskaya ul., Saint Petersburg, 194021, Russia, This email address is being protected from spambots. You need JavaScript enabled to view it., This email address is being protected from spambots. You need JavaScript enabled to view it.
Ruben A. Girgidov
Peter the Great Saint Petersburg Polytechnical University (SPbPU), Associate Professor, 29, Politekhnicheskaya ul., Saint Petersburg, 195251, Russia, This email address is being protected from spambots. You need JavaScript enabled to view it.
Received 21 September 2021
Abstract
In this paper we describe application of the method of physical processes simulating to build a swarm of drones. We show that this method provides the construction of a swarm of drones in the form of a crystal lattice with specified parameters. We found those additional conditions that make it possible to assemble a swarm of disparate drones. We have proposed an algorithm that allows assembling a swarm with minimal costs using a simple measuring complex.
Key words
UAV, self-organization, physical processes simulating, crystal lattice, swarm robotics, sensors for UAV.
DOI
10.31776/RTCJ.10103
Bibliographic description
Boyko, A. and Girgidov, R., 2022. Key features of a swarm assemlby algorythm for autonomous unmanned aerial vehicles (UAVs) in absence of GNSS and stable radio communication. Robotics and Technical Cybernetics, 10(1), pp.25-31.
UDC identifier:
623.746-519
References
Spears, W.M., Heil, R. and Zarzhitsky, D., 2005. Artificial physics for mobile robot formations. In: International Conference on Systems, Man and Cybernetics, IEEE. Available at: <https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1571489> (accessed 22 November 2021). DOI: 10.1109/ICSMC.2005.1571489.
Boyko, A. and Girgidov, R, 2021. Maintaining the spatial stability of a swarm of autonomous unmanned aerial vehicles. Robotics and Technical Cybernetics, 9(2), pp.85-90. (in Russian)
