Abstract
This contribution presents a framework to support the planning of Manned-Unmanned Teaming (MUM-T) missions in which unmanned aerial vehicles (UAVs) are shared among multiple distributed users. To negotiate the provision of requested UAV services, we modeled a centralized task allocation procedure that uses individual utility values to represent the preferences of requester and provider. Our initial approach solves the planning problem classically, by directly accounting for utility and costs. A second approach extends this in favor of a universal application that does not rely on direct accountability. This second approach however presents potential limitations in finding the optimal solution as well as increased computation costs. Both approaches were integrated and tested in a helicopter research simulator. Study results indicate that both approaches provide the same solution quality. We conclude that, regardless of the implemented method, UAVs can be effectively shared between distributed users through a centralized task allocation model.
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Roth, G., Schulte, A. (2021). A Distributed Mission-Planning Framework for Shared UAV Use in Multi-operator MUM-T Applications. In: Zallio, M., Raymundo Ibañez, C., Hernandez, J.H. (eds) Advances in Human Factors in Robots, Unmanned Systems and Cybersecurity. AHFE 2021. Lecture Notes in Networks and Systems, vol 268. Springer, Cham. https://doi.org/10.1007/978-3-030-79997-7_4
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DOI: https://doi.org/10.1007/978-3-030-79997-7_4
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