Методи роєвого штучного інтелекту в завданнях автономної навігації БПЛА

• Datum: 2025
• Автори та афіліації: Michael Zgurovsky — Educational and Scientific Complex “Institute for Applied System Analysis” of the National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”, Kyiv; Yuriy Zaychenko — Educational and Research Institute for Applied System Analysis of the National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”, Kyiv; Andrii Tytarenko — Educational and Research Institute for Applied System Analysis of the National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”, Kyiv; Oleksii Kuzmenko — Educational and Research Institute for Applied System Analysis of the National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”, Kyiv
• Ключові слова: keywords
• Hauptverfasser: Zgurovsky, Michael, Zaychenko, Yuriy, Tytarenko, Andrii, Kuzmenko, Oleksii
• Format: Artikel
• Sprache: Englisch
• Veröffentlicht: The National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute" 2025
• Schlagworte: ройовий інтелект; БПЛА; автономна навігація; дерева поведінки; GBestPSO; ROS 2; DDS; когнітивна архітектура
• Online Zugang: https://journal.iasa.kpi.ua/article/view/343081
• Назва журналу: System research and information technologies

This paper presents a comparative analysis of nine swarm intelligence (SI) methods in terms of their suitability for onboard AI platforms in autonomous unmanned aerial vehicle (UAV) swarms. A set of key criteria is defined, including computational complexity, scalability, latency, robustness to agen...