一个自主监视和安全机器人团队

T.-H.S. Li, Chih-Yang Chen, Ying-Chieh Yeh, C. Yang, Hong-Kai Huang, H. Hung, C. Chu, Shiuan-Hung Hsu, Ding-Yao Huang, Bing-Rung Tsai, Min-Chi Gau, Ren-Jau Jang
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引用次数: 10

摘要

本文的动机是建立一个监视和安全机器人团队(SSRT),三个自主移动机器人和一个监视和安全控制(SSC)中心。SSC中心通过互联网与客户端通信,客户端可以为每个机器人分配巡逻调度程序。SSRT通过无线通信网络在团队成员之间共享环境信息。SSRT的体系结构可以分为两部分。第一个是感官反馈公园。每个监控安防机器人(SSR)都可以通过互联网向监控安防中心发送和接收一些有用的数据,如电能剩余量和巡逻结果。另一个是任务分配。SSC中心对每个SSR执行任务的优先级进行排序,并为每个SSR分配合适的任务,例如,如果发生异常事件,SSR会报警并将图片发送给SSC中心,然后由SSC中心宣布机器人雇主,并为每个机器人分配最优的巡逻角色。最合适的机器人将去支援事故区域,而其他机器人将疏散人员以减少任何可能的伤害。采用模糊逻辑决策算法为每个机器人找到到达事故地点的最优路径。将RFID数据与视觉系统相结合,识别环境中的条形码特征,完成每个机器人的自我定位和巡逻程序。每个机器人都具有自动充电功能,可以自动充电。最后,通过实时实验验证了所提方案的可行性和有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An autonomous surveillance and security robot team
The motivation of this paper is to set up a surveillance and security robot team (SSRT, three autonomous mobile robots and a surveillance and security control (SSC) center. The SSC center communicates with clients via the Internet which can assign patrol scheduler for each robot. The SSRT shares the environmental information among team members through a wireless communication network. The architecture of the SSRT can be divided into two parts. The first one is sensory feedback park. Each surveillance and security robot (SSR) can transmit and receive useful some data, for example, the electric energy residue and the result of patrol, to SSC center via the internet. The other one is mission assignment. The SSC center sorts out the priority of each SSR for the mission execution and assigns each SSR a suitable mission, for example, if any unusual event happens, the SSR will alarm and send the pictures to the SSC center, and then the center will announce the robot employer and assign the optimal patrol role for every robot. The most suitable robot will go to support the incident area, while the other robots will evacuate people to decrease any possible damage. A fuzzy logic decision algorithm is adopted to find the optimal path for each robot to reach the incident location. By combining RFID data with the vision system to recognize the bar-code characteristics in the environment, the self-localization and the patrol routine for each robot can be accomplished. Each robot possesses the auto-recharge function which can recharge itself automatically. Finally, real-time experiments are executed to demonstrate the feasibility and effectiveness of the proposed schemes.
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