Distributed Mission Planning of Complex Tasks for Heterogeneous Multi-Robot Systems

Ferreira, Barbara Arbanas; Petrović, Tamara; Bogdan, Stjepan

doi:10.1109/case49997.2022.9926542

Cited by 5 publications

(1 citation statement)

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“…Literature [12] presents a taskoriented task allocation framework based on auction algo-rithm, with good robustness in different tasks and environment demand scenarios. In literature [13], distributed task allocation and scheduling algorithms are put forward, aiming at tight coupling the tasks with time priorities. As for the possible conflict problem occurred during the flying of UAV swarms in airspace, it is suggested to set a safety interval and establish a cluster airspace conflict resolution method in literature [14], thereby effectively avoiding the occurrence of conflicts.…”

Section: Related Workmentioning

confidence: 99%

A Decision-Making Method for Distributed Unmanned Aerial Vehicle Swarm considering Attack Constraints in the Cooperative Strike Phase

Gao

et al. 2023

International Journal of Aerospace Engineering

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In view of the growing military forces of various countries, unmanned aerial vehicle (UAV) swarms, as a new type of weapon, are gradually attracting the attention of more and more countries. Decision-making, as the core link in its application, has also become the focus of research in these countries. In this work, the distributed UAV swarm cooperative strike decision-making problems are separated from the distributed UAV swarm cooperative search strike decision-making problems, and the distributed UAV swarm cooperative strike multiobjective decision-making model is established, with the relevant constraints clarified. Besides, according to the analysis of the motion characteristics of UAV and the speed requirements of the distributed UAV swarm cooperative strike decision, an arc tangent trajectory planning method, conforming to the motion characteristics of UAV, is proposed. Moreover, a distributed cooperative strike decision-making method, based on the idea of “campaign endorsement and invitation cooperation,” is put forward, with the effectiveness and superiority validated by simulation experiments.

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Section: Related Workmentioning

confidence: 99%