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Adaptive Mission Control Architecture with Flexible Levels of Autonomy

유연한 자율화 수준의 적응형 임무통제 아키텍처

  • Wonik Park (Advanced Defense Science & Technology Research Institute, Agency for Defense Development) ;
  • Hojoo Lee (Advanced Defense Science & Technology Research Institute, Agency for Defense Development) ;
  • Joonsung Choi (Advanced Defense Science & Technology Research Institute, Agency for Defense Development) ;
  • Tokson Choe (Advanced Defense Science & Technology Research Institute, Agency for Defense Development) ;
  • Chonghui Kim (Advanced Defense Science & Technology Research Institute, Agency for Defense Development)
  • 박원익 (국방과학연구소 국방첨단과학기술연구원) ;
  • 이호주 (국방과학연구소 국방첨단과학기술연구원) ;
  • 최준성 (국방과학연구소 국방첨단과학기술연구원) ;
  • 최덕선 (국방과학연구소 국방첨단과학기술연구원) ;
  • 김종희 (국방과학연구소 국방첨단과학기술연구원)
  • Received : 2023.11.23
  • Accepted : 2024.01.19
  • Published : 2024.04.05

Abstract

The future battlefield operation concept does not focus on advanced and complete weapon systems, but requires a new battlefield operation concept that can effectively demonstrate offensive power by combining a large number of low-cost, miniaturized weapons. Recently, research on the autonomous application of major technologies that make up the mission control system is actively underway. However, since the mission control system is still dependent on the operator's operating ability when operating multiple robots, there are limitations to simply applying the automation technology of the existing mission control system. Therefore, we understand how changes in operator capabilities affect multi-robot operation and propose an adaptive mission control architecture design method that supports multi-robot integrated operation by adjusting the level of autonomy of the mission control system according to changes in operator capability.

Keywords

Acknowledgement

이 논문은 2024년 정부의 재원으로 수행된 연구 결과임.

References

  1. Dr. Robert W. Sadowski, Enabling MUM-T within Army Formations, TARDEC Ground Vehicle Robotics, p. 8, 2016.
  2. S. Magnuson, "Darpa Tiles Together A Vision of Mosaic Warfare," DARPA 1958-2018, pp. 22-25, 2018.
  3. H. Lee, W. Park and D. Kim, "Unit Mission Based Mission Planning and Automatic Mission Management for Robots," Journal of the Korea Institute of Military Science and Technology, Vol. 17, No. 1, pp. 1-7, 2014. https://doi.org/10.9766/KIMST.2014.17.1.001
  4. H. Lee, W. Park, H. Jang, I. Baek and D. Kim, "An Optimal Allocation Model of Multi-robots for Cooperation Control," Annual Conference Proceedings of Ground Weapon System, pp. 1753-1754, 2013.
  5. Y. Lee, H. Kim, W. Park and C. Kim, "Efficient Task-Resource Matchmaking Technique for Multiple/ Heterogeneous Unmanned Combat Systems," Journal of the Korea Institute of Military Science and Technology, Vol. 26, No. 2, pp. 188-196, 2023. https://doi.org/10.9766/KIMST.2023.26.2.188
  6. W. Park, D. Kim, and H. Lee, "Terrain Trafficability Analysis for Autonomous Navigation: A GIS-based Approach," International Journal of Control, Automation, and Systems, 11, (2), pp. 354-361, 2013. https://doi.org/10.1007/s12555-011-0021-x
  7. Sheridan, T. B., Telerobotics, Automation and Human Supervisory Control, Cambridge: The MIT Press, 1992.