UAV Team Operation based on Artificial Intelligence approach.

Lead Research Organisation: Cranfield University
Department Name: Sch of Aerospace, Transport & Manufact


Unmanned Aerial Vehicles (UAV) have become more popular for usage due to the low cost of deployment and maintenance. Single UAV employment allows remote area monitoring and transferring different payloads to inaccessible or dangerous zones for human. In order to deal with flight tasks that are more complex, UAV swarms are applied. The main challenge of UAV swarm formation and flight control is to avoid vehicle collisions. In this case, artificial intelligence is responsible for flight performance in the airspace in such way that collision is avoided. The main requirements to the method, which will provide conflict-free manoeuvres, are safety (collision avoidance), liveness (decentralized control, destination area reachability) and flyability (UAV flight performance constraints are satisfied).


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Studentship Projects

Project Reference Relationship Related To Start End Student Name
EP/N509450/1 30/09/2016 29/09/2021
2279290 Studentship EP/N509450/1 29/09/2019 29/09/2022 George Marios Skaltis
EP/R513027/1 30/09/2018 29/09/2023
2279290 Studentship EP/R513027/1 29/09/2019 29/09/2022 George Marios Skaltis