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Smart mobile robot for security of low visibility environment

机译:智能移动机器人,用于低可见性环境的安全性

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The field of robotics has apparently appeared to replace jobs that humans usually dislike to do, jobs that have low tolerance for faults and risks or jobs for which human resource is not available. For these reasons, many types of robot have appeared, such as man-like robots, car-like robots and mobile robots. Mobile robots have become a target for many applications, such as security patrolling, manufacturing, materials handling in the warehouse, and many others applications. In the last decade, mobile robots have become an important topic in the security field. Several methods have been introduced to deal with mobile robot and security. Nevertheless, most of these methods are not smart enough to work in low visibility environments. In this paper, we are going to introduce a novel smart security system, which uses a mobile robot as a security patrol in dark environment. The proposed system is a non-vision based system and designed to deal with the dark environments using artificial intelligence methods (Neural Network NN and Fuzzy Logic FL). The proposed system includes a motion control model, which is responsible for the navigation operation in the monitoring area. The NN and FL techniques are used to smartly determine the abnormal situation in the monitoring area. Many levels of alarms are used to tackle the deferent level of dangers.
机译:机器人专业人员显然似乎取代了人类通常不喜欢的工作,对人力资源不可用的故障和风险或工作具有低容忍的工作。由于这些原因,出现了许多类型的机器人,例如人类机器人,汽车的机器人和移动机器人。移动机器人已成为许多应用的目标,例如仓库中的安全巡逻,制造,材料处理以及许多其他应用程序。在过去十年中,移动机器人已成为安全领域的重要主题。已经引入了几种方法来处理移动机器人和安全性。然而,大多数这些方法都不智能,可以在低可见环境中工作。在本文中,我们将推出一种新颖的智能安全系统,它使用移动机器人作为黑暗环境中的安全巡逻。所提出的系统是基于非视觉的系统,旨在使用人工智能方法(神经网络NN和模糊逻辑FL)处理黑暗环境。所提出的系统包括运动控制模型,其负责监控区域中的导航操作。 NN和流技术用于巧妙地确定监测区域的异常情况。许多级别的警报用于解决延迟危险程度。

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