Research on Key Technologies for Equipment of the Intelligent Support Platform

Huang Tong, Jin-Zhong Zhang, Zhong-Ting Su
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Abstract

Aiming to address the operational load of the unmanned support equipment in the future battlefield, this paper explores and researches the intelligent support equipment (IPS) related key technologies, such as environment perception and mapping, robot arm coordination and tracking control, robot arm virtual decomposition and mode switching control, and multi-mode human-robot interaction in an autonomous/semi-autonomous way, so as to effectively enhance technologies of the unmanned support platform and provide technical support and equipment support to satisfy the unmanned combat requirements.
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智能支撑平台装备关键技术研究
针对未来战场上无人保障装备的作战负荷问题,以自主/半自主的方式,对智能保障装备(IPS)相关的环境感知与映射、机械臂协调与跟踪控制、机械臂虚拟分解与模式切换控制、多模式人机交互等关键技术进行了探索和研究。从而有效提升无人保障平台的技术水平,为满足无人作战需求提供技术保障和装备保障。
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