Journal of the Korea Institute of Military Science and Technology (한국군사과학기술학회지)

The Korea Institute of Military Science and Technology (한국군사과학기술학회)
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Autonomous Collaboration Control for Manned-Unmanned Complex Systems and Its Compositions

유무인복합체계 구성 및 협업통제 자동화

  • Hojoo Lee (Defense AI Center, Agency for Defense Development) ;
  • Dohyun Kim (Defense AI Center, Agency for Defense Development) ;
  • Wonik Park (Defense AI Center, Agency for Defense Development) ;
  • Joonsung Choi (Defense AI Center, Agency for Defense Development)
  • 이호주 (국방과학연구소 국방AI센터) ;
  • 김도현 (국방과학연구소 국방AI센터) ;
  • 박원익 (국방과학연구소 국방AI센터) ;
  • 최준성 (국방과학연구소 국방AI센터)
  • Received : 2024.07.19
  • Accepted : 2024.10.10
  • Published : 2024.12.05
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Abstract

The emergence of MUCS(Manned-Unmanned Complex System), incorporating numerous robots surpassing human's control capabilities, is inevitable on future battlefields and necessitates revolutionary robot operation technology. Since MUCS should be structured over the current command and control networks in Korean military binding its constituent elements ranging from small echelons to joint forces, various types of MUCS configurations and manned-unmanned teaming(MUM-T) types are also defined. Then a methodology for robot collaboration with aiming at real-time situation response is proposed. The method is basing on the situational response decision-making model in order to operate multiple robots cooperatively in respond to serial events occurring in real-time using the concept of control measure which is the origin/object triggering a task. In addition, a set of decision-making rules is devised and compared to decisions optimized by the model. Through illustrative experiments the suggested method is checked to be viable for realizing MUM-T and operating multiple robots in MUCSs.

Keywords

Acknowledgement

본 논문은 2024년 정부의 재원으로 수행된 연구 결과임. 논문에 대한 심사평 반영 차원에서 본 논문에 포함된 모든 그림은 저자의 주관에 따라 직접 그린 것임을 밝힙니다.

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