首页> 外文会议>2015 5th National Symposium on Information Technology: Towards ew Smart World >Smart mobile robot for security of low visibility environment
【24h】

Smart mobile robot for security of low visibility environment

机译:智能移动机器人可确保低可见性环境的安全

获取原文
获取原文并翻译 | 示例
获取外文期刊封面目录资料

摘要

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:机器人技术领域似乎已经取代了人类通常不喜欢的工作,对故障和风险的容忍度低的工作或没有人力资源的工作。由于这些原因,出现了许多类型的机器人,例如人型机器人,汽车型机器人和移动机器人。移动机器人已成为许多应用程序的目标,例如安全巡逻,制造,仓库中的物料搬运以及许多其他应用程序。在过去的十年中,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。但是,这些方法大多数都不足够聪明,无法在低可见性环境中工作。在本文中,我们将介绍一种新颖的智能安全系统,该系统将移动机器人用作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,该模型负责监视区域中的导航操作。 NN和FL技术用于智能地确定监视区域中的异常情况。许多级别的警报用于解决不同级别的危险。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号