Modern warfare demands a high level of coordination and interoperability among multiple combat vehicles and crew members operating in dynamic and complex environments. Traditional training methods are often limited in scalability, flexibility, and cost-efficiency, making it challenging to effectively prepare forces for future battlefield scenarios. To address these limitations, this study presents the development of a Multiple Combat Vehicle Integrated Training Device, a next-generation simulation-based training system. The MCITD integrates advanced technologies such as Extended Reality, Digital Twin modeling, and Artificial Intelligence to deliver immersive, interactive, and highly realistic training experiences. The system allows for simultaneous training of multiple crew members in a networked environment that replicates real-world combat conditions, including terrain, weather, and adversary behavior. Key system components, including the simulation module, network communication framework, battlefield environment generator, and performance analysis engine, are discussed in detail. Potential application scenarios such as large-scale land operations, urban warfare, and multinational joint training exercises are also explored. The MCITD aims to enhance combat readiness, mission success, and training efficiency by providing a cost-effective, scalable, and adaptable solution for future-oriented military training programs.

The purpose of this paper is to suggest the methodology for the establishment of operational concept for speed-up of defense robot and improvement direction of the defense acquisition system for the defense robot. In order to achieve this goal, the current defense acquisition system was analyzed into long-term planning, mid-term programming, and project execution stages. And I suggest the methodology for the establishment of operational concept for speed-up of defense robot and direction of development of the defense robot acquisition system considering the characteristics of the robot in terms of core technologies of robot, robot ecosystem and effectiveness-based-robot-design, respectively. Based on the methodology for establishment of the operational concept of defense robot and development direction of the defense acquisition system presented in this study, it will be possible to design efficiently the defense robot in the future.