• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.50 no.1
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• pp.47-57
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• 2022

UAVs have been deployed various missions such as deception, reconnaissance and attack since they have been applied in battlefield and achieved missions successfully instead of man. In the past, it is impossible for UAVs to conduct autonomous missions or cooperative mission between manned aircraft due to the limitation of the technology. However, theses missions are possible owing to the advance in communication and AI Technology. In this research, we identified the possible cooperative missions between manned and unmanned team based on air-to-air mission. We studied cooperative manned and unmanned tactics about fighter sweep mission which is the core and basic operation among various air-to-air missions. We also developed cooperative tactics of manned and unmanned team by classifying nonstealth and stealth confrontational tactics. Hereafter, we verified the validity of the suggested tactics using computer simulations.

• Journal of the Korea Institute of Military Science and Technology
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• v.27 no.6
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• pp.772-783
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• 2024

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.