• Title/Summary/Keyword: Manned-unmanned Teaming

Search Result 23, Processing Time 0.025 seconds

Analysis of SEAD Mission Procedures for Manned-Unmanned Aerial Vehicles Teaming (유무인기 협업 기반의 SEAD 임무 수행절차 분석)

  • Kim, Jeong-Hun;Seo, Wonik;Choi, Keeyoung;Ryoo, Chang-Kyung
    • Journal of the Korean Society for Aeronautical & Space Sciences
    • /
    • v.47 no.9
    • /
    • pp.678-685
    • /
    • 2019
  • Due to the changes in future war environment and the technological development of the aviation weapon system, it is required to carry out on the analysis of the Manned-Unmanned aerial vehicles Teaming(MUM-T). Conventional manned-unmanned aerial vehicles operate according to the air strategy missions and vehicles' performance. In this paper, we analyze conventional aerial vehicle's mission to derive various kinds of missions of MUM-T after analyzing the unmanned aircraft systems roadmap issued by US DoD and the air strategy of US Air Force. Next, we identify the basic operations of the vehicles to carry out the missions, select the MUM-T based Suppression of Enemy Air Defense missions(SEAD), and analyze the procedure for performing the missions step by step. In this paper, we propose a procedure of the mission in the context of physical space and timeline for the realization of the concept of MUM-T.

Development of Air to Air Mission Tactics for Manned-Unmanned Aerial Vehicles Teaming (공대공 교전을 위한 유무인항공기 협업 전술 개발)

  • Hwang, Seong-In;Yang, Kwang-Jin;Oh, Jihyun;Seol, Hyeonju
    • Journal of the Korean Society for Aeronautical & Space Sciences
    • /
    • v.50 no.1
    • /
    • pp.47-57
    • /
    • 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.

A Study on Integrated Manned-Unmanned Teaming for Future Ground Warfare Victory

  • Hyun-Ho Hwang
    • International Journal of Advanced Culture Technology
    • /
    • v.12 no.1
    • /
    • pp.16-19
    • /
    • 2024
  • One of the current focal points in the defense sector is how to strategically leverage the technologies of the Fourth Industrial Revolution in military operations. The Fourth Industrial Revolution denotes a transformational shift in the environment where automation and connectivity are maximized, primarily driven by advancements in machine learning and artificial intelligence. Coined by Klaus Schwab at the 2015 Davos Forum, this term signifies a profound change in human activities, akin to how a single machine replaced hundreds of laborers in the past. The military application of Fourth Industrial Revolution technologies is increasingly researched and anticipated to be actively implemented. Combat, as a subset of warfare, entails military actions between units conducting war. Typically performed by units to achieve one or more objectives, the concept of combat involves the fundamental ideas guiding the conduct of military operations against adversaries, both presently and in the future. Hence, it is imperative for our military to develop future combat concepts by harnessing the key technologies of the Fourth Industrial Revolution.

A Methodology for Evaluating Mission Suitability of Manned-Unmanned Aircraft Teaming for SEAD Missions (SEAD 임무 수행을 위한 유x무인기 협업 체계의 임무적합도 평가 방법론 연구)

  • Seo, Wonik;Lee, Hyun Moo;Kim, Jeong-Hun;Choi, Keeyoung;Jee, Cheol-Kyu
    • Journal of the Korean Society for Aeronautical & Space Sciences
    • /
    • v.48 no.11
    • /
    • pp.935-943
    • /
    • 2020
  • This paper presents a methodology for evaluating suitability of a manned-unmanned aerial vehicle team for a complicated mission. The study identified vehicle performance, equipment performance and level of autonomy as the key factors that affect the mission effectiveness. A manned and an unmanned aircraft were compared, and their performance was quantized in these respects. SEAD was chosen as a representative manned-unmanned team mission. The SEAD mission was broken down to a sequence of tasks. Mission experts evaluated the importance of each mark item for the mission legs. Combining the results showed proper type of aircraft for each leg depending on the complexity, safety, and importance of the task. Finally, the whole mission plan was laid out as a time-based sequence which alleviate pilot workload significantly.

A Study on Requirement Analysis of Unmanned Combat Vehicles: Focusing on Remote-Controlled and Autonomous Driving Aspect (무인전투차량 요구사항분석 연구: 원격통제 및 자율주행 중심으로)

  • Dong Woo, Kim;In Ho, Choi
    • Journal of the Korean Society of Systems Engineering
    • /
    • v.18 no.2
    • /
    • pp.40-49
    • /
    • 2022
  • Remote-controlled and autonomous driving based on artificial intelligence are key elements required for unmanned combat vehicles. The required capability of such an unmanned combat vehicle should be expressed in reasonable required operational capability(ROC). To this end, in this paper, the requirements of an unmanned combat vehicle operated under a manned-unmanned teaming were analyzed. The functional requirements are remote operation and control, communication, sensor-based situational awareness, field environment recognition, autonomous return, vehicle tracking, collision prevention, fault diagnosis, and simultaneous localization and mapping. Remote-controlled and autonomous driving of unmanned combat vehicles could be achieved through the combination of these functional requirements. It is expected that the requirement analysis results presented in this study will be utilized to satisfy the military operational concept and provide reasonable technical indicators in the system development stage.

A Survey of Research on Human-Vehicle Interaction in Defense Area (국방 분야의 인간-차량 인터랙션 연구)

  • Yang, Ji Hyun;Lee, Sang Hun
    • Korean Journal of Computational Design and Engineering
    • /
    • v.18 no.3
    • /
    • pp.155-166
    • /
    • 2013
  • We present recent human-vehicle interaction (HVI) research conducted in the area of defense and military application. Research topics discussed in this paper include: training simulation for overland navigation tasks; expertise effects in overland navigation performance and scan patterns; pilot's perception and confidence on an overland navigation task; effects of UAV (Unmanned Aerial Vehicle) supervisory control on F-18 formation flight performance in a simulator environment; autonomy balancing in a manned-unmanned teaming (MUT) swarm attack, enabling visual detection of IED (Improvised Explosive Device) indicators through Perceptual Learning Assessment and Training; usability test on DaViTo (Data Visualization Tool); and modeling peripheral vision for moving target search and detection. Diverse and leading HVI study in the defense domain suggests future research direction in other HVI emerging areas such as automotive industry and aviation domain.

The Specification of Air-to-Air Combat Tactics Using UML Sequence Diagram (UML Sequence Diagram을 활용한 공대공 교전 전술 명세)

  • Park, Myunghwan;Oh, Jihyun;Kim, Cheonyoung;Seol, Hyeonju
    • Journal of the Korea Institute of Military Science and Technology
    • /
    • v.24 no.6
    • /
    • pp.664-675
    • /
    • 2021
  • Air force air-to-air combat tactics are occurring at a high speed in three-dimensional space. The specification of the tactics requires dealing with a quite amount of information, which makes it a challenge to accurately describe the maneuvering procedure of the tactics. The specification of air-to-air tactics using natural languages is not suitable because of the intrinsic ambiguity of natural languages. Therefore, this paper proposes an approach of using UML Sequence Diagram to describe air-to-air combat tactics. Since the current Sequence Diagram notation is not sufficient to express all aspects of the tactics, we extend the syntax of the Sequence Diagram to accommodate the required features of air-to-air combat tactics. We evaluate the applicability of the extended Sequence Diagram to air-to-air combat tactics using a case example, that is the manned-unmanned teaming combat tactic. The result shows that Sequence Diagram specification is more advantageous than natural language specification in terms of readability, conciseness, and accuracy. However, the expressiveness of the Sequence Diagram is evaluated to be less powerful than natural language, requiring further study to address this issue.

A Study on AI-Enabled Combat Cases of Ukrainian Armed Forces in the RMA (Revolution in Military Affairs) Aspect (군사혁신(RMA) 측면에서 바라본 우크라이나군의 지능화 전투사례 연구)

  • Sang Keun Cho;Andrii Zhytko;Ki Won Kim;In Keun Son;Sang Hyuk Park
    • The Journal of Korea Robotics Society
    • /
    • v.18 no.3
    • /
    • pp.308-315
    • /
    • 2023
  • Russia invaded Ukraine in February 2022. Many military experts predicted that Russia could defeat Ukraine within a week, but the Ukraine-Russia War has not been going as expected. Indeed, Ukraine military has been defending well and seems to fight more efficiently than Russian military. There are many reasons for this unexpected situation and one apparent thing is due to artificial intelligence (AI) technologies. This study focused on AI-enabled combats that the Armed Forces of Ukraine has carried out around Siverskyi Donets River, the Crimean Peninsula, and suburbs of Kyiv. For more systematic analysis, the revolution in military affairs (RMA) theory was applied. There are four significant implications inferred by studying current Ukraine-Russia War. First, AI technologies are effective even in the current status and seems to be more influential. Second, hyper-connected network by satellite communications must be needed to enhance the AI weapon effects. Third, military AI technologies should be based on the civil-military cooperation to keep up with pace of technological innovation. Fourth, AI ethics in military should be seriously considered and established in the use of AI technologies. We expect that this study could help ROK Armed Forces to be modernized in the revolutionary fashion, especially for manned and unmanned teaming (MUM-T) system.

A Study on the Development Trend of MUMT System of Military Advanced Countries (군사 선진국의 유·무인 복합체계 개발동향 연구)

  • Sang-Keun Cho;Eui-chul Shin;Jun-Woo Kim;In-Chan Kim;Ki-Won Kim;Sang-Hyuk Park
    • The Journal of the Convergence on Culture Technology
    • /
    • v.9 no.1
    • /
    • pp.413-418
    • /
    • 2023
  • This study presents the direction of the Republic of Korea Army in the future by examining the Manned and Unmanned Teaming(MUMT) Systems of the Military Advanced Countries of the United States, Israel, and France. In this study, the current status of the U.S. Ground Forces' 'Squad-X' program, the Israeli Ground Forces' Digital Army Program (DAP), and the French Army's Scorpion program were examined. Next, it was followed by a discussion of The Combat concept, a way of fighting in the future battlefield, with the development trend of a complex Combat system with various weapon systems supporting it. Finally, based on this, the direction of the development of MUMT system, which the Republic of Korea Army should engage in in the future, was presented as a conclusion. Since such MUMT system of advanced military forces are being developed in a secret manner, continuous longitudinal research needs be conducted.

AI and Network Trends for Manned-Unmanned Teaming (유‧무인 복합을 위한 AI와 네트워크 동향)

  • J.K. Choi;Y.T. Lee;D.W. Kang;J.K. Lee;H.S. Park
    • Electronics and Telecommunications Trends
    • /
    • v.39 no.4
    • /
    • pp.21-31
    • /
    • 2024
  • Major global powers are investing heavily in artificial intelligence (AI) and hyper-connected networks, demonstrating their crucial role in future warfare. To advance and utilize AI in national defense, it is essential to have policy support at the governmental or national level. This includes establishing a research and development infrastructure, creating a common development environment, and fostering AI expertise through education and training programs. To achieve advancements in hyper-connected networks, it is essential to establish a foundation for a robust and resilient infrastructure by comprehensively building integrated satellite, aerial, and ground networks, along with developing 5G & edge computing and low-orbit satellite communication technologies. This multi-faceted approach will ensure the successful integration of AI and hyper-connected networks, strengthening national defense and positioning nations at the forefront of technological advancements in warfare.