Abstract

In this paper we present a general, decentralized air traffic control solution using autonomous drones. We challenge some of the most difficult dense traffic situations, namely, crosswalk and package-delivery scenarios, where intelligent collective collision avoidance and motion planning is essential for a jam-free optimal traffic flow. We build up a force-based distributed multi-robot control model using a tunable selection of interaction terms: anisotropic repulsion, behaviour-driven velocity alignment, self-organized queueing and conflict-avoiding self-driving. We optimize the model with evolution in a realistic simulation framework and demonstrate its applicability with 30 autonomous drones in a coordinated outdoor flight within a densely packed virtual arena.


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The different versions of the original document can be found in:

http://dx.doi.org/10.1109/icra.2018.8461073
https://ieeexplore.ieee.org/abstract/document/8461073,
http://real.mtak.hu/83676,
https://academic.microsoft.com/#/detail/2892212196
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Published on 01/01/2018

Volume 2018, 2018
DOI: 10.1109/icra.2018.8461073
Licence: CC BY-NC-SA license

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