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Implementation of autonomous navigation based on cloud model for robot

机译:基于云模型的机器人自主导航的实现

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摘要

This paper introduces concepts and digital characteristics of cloud model which is a converter between qualitative and quantitative information. Then a theory that speed and steering of robot are manipulated by cloud model controller which process uncertain information collected by infrared distance sensors is proposed. Also, the design of core modules constitute control system is described. Finally performance of cloud model controller is test by field testing.
机译:本文介绍了云模型的概念和数字特征,云模型是定性和定量信息之间的转换。然后提出了云模型控制器操纵机器人速度和转向的理论,该模型处理红外距离传感器收集的不确定信息。此外,还描述了构成控制系统的核心模块的设计。最后,通过现场测试来测试云模型控制器的性能。

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