Planning Complex Flight Missions for Groups of Intelligent Unmanned Aerial Vehicles

Abstract—: Parallel and pipeline methods for performing complex flight missions by groups of intelligent unmanned aerial vehicles (UAVs) are comparatively analyzed to find the most effective way for performing such missions under the criteria of minimum time and limited functionality of onboard computers. A model of knowledge representation for planning goal-oriented behavior in the a priori undescribed problem environment regardless of the specific domain is proposed. Procedures for knowledge processing and inference on semantic networks are developed for planning goal-oriented behavior of intelligent UAVs in the process of performing various subtasks of a complex flight mission with polynomial complexity. © 2020, Allerton Press, Inc.

Authors
Number of issue
5
Language
English
Pages
322-329
Status
Published
Volume
47
Year
2020
Organizations
  • 1 Dagestan State Technical University, Makhachkala, 367015, Russian Federation
  • 2 Federal Research Center Computer Science and Control, Russian Academy of Sciences, Moscow, 119333, Russian Federation
  • 3 RUDN University, Moscow, 117198, Russian Federation
Keywords
active semantic network; frames of action; frames of relations; group; inference on semantic networks; knowledge representation model; unmanned aerial vehicles
Date of creation
20.04.2021
Date of change
20.04.2021
Short link
https://repository.rudn.ru/en/records/article/record/72500/
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