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As army robotics history shows, the endeavor to mechanize, automate or robotize in the context of the militaries of sovereign states is not new (Cao, Jiang, Shang, Xu & Luo 2022). Moving the target robot system for shooting practice is a vital component of combat training that can hone an officer’s real gun aiming. Moreover, shooting skills increase the likelihood that they will survive on the battlefield and generally improve strengths and skill levels of service members (Wang, 2020). In the manufacturing and service sectors, a human-robot interaction experience may benefit from an intelligent moving robot system that can track a human target in real time. However, humanoid robots are currently not competent enough to undertake numerous duties that people accomplish regularly (Lv, Xiao & Guo , 2019).
An intelligent mobile robot must analyze various raw sensory inputs, including orientation from a gyro sensor, forces from force sensors, picture pixel data from cameras, and microphone audio signals. In particular, many questions regarding the successful coordination of robots, which is essential for observing intelligent moving target robot systems, are left unanswered (Zeng, 2021). This paper provides an overview of methods for controlling robots that work together to keep an eye on a moving object. This subject is intriguing because of the simultaneous motions of robots and targets, and the experts review is the first to address this cooperative multirobot challenge comprehensively (Boyu, Jin, Yuanheng, Haoran, Yingnian & Dongbin, 2021).
In the past, shooters would utilize a stationary or intelligent moving target robot system to hone their skills. Target placement is limited to a single location or path, and the available movement modes and training environments are also somewhat limited (Shaoping, Leping, Yujie, Yupei, Jingxin & Yongliang, 2021). Conventional training methods are ineffective because they are far removed from the actual battle using a moving target robot. However, meeting the needs of intelligent shooting training in the modern era is challenging because the goal needs to be reinstalled, the track gathered, and the path organized whenever the training site or the movable route of the target is changed (Qi, Zhe, Baoxiang, Pengfei & Xiaotian, 2021). The simulation of gunplay closer to the reality of battle necessitates rethinking shooting drills, which have been traditionally conducted to bring them up to speed with what is required on the battlefield. To this end, shooting training systems increasingly incorporate humanoid machines with functions, such as moving target positioning, route planning, and collision avoidance (Ramasamy & Kogilavani, 2022).
From transportation to search and rescue, assault, military robots are autonomous or remote-controlled mobile robots built specifically for military use. Although the employment of robots in combat is more commonly associated with science fiction, it is now being studied as a potential future method of waging conflicts. Several militaries have already produced military robots. Robots are speculated to be fighting wars soon. The RQ-1 Predator, which can be controlled remotely from a command post and equipped with atmosphere weapons, is a top priority investment for the military.