基于DSmT的多移动机器人地图构建

Peng Li, Xinhan Huang, Min Wang, Xiangjin Zeng
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引用次数: 4

摘要

本文提出了一种新的多机器人系统框架来解决多机器人地图构建问题。与文献中介绍的经典架构相比,这种框架提高了系统的整体性能,特别是在减少计算和通信方面,提高了实时性。同时,在系统中应用新的信息融合方法DSmT (dezert和smarandache理论),并考虑声纳传感器的特性,构造了通用基本信念分配函数(gbbaf)来处理声纳传感器获取的不确定和不精确信息。最后,利用Pioneer II移动机器人进行了单机器人系统和多机器人系统的地图生成实验。将生成的地图与真实地图进行对比,验证了本文提出的DSmT算法的有效性以及多机器人系统融合不精确信息和地图构建的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multiple Mobile Robots Map Building Based on DSmT
In this paper, a new multi-robot system framework is introduced to solve the problem of multi-robot map building. Compared with the classical architectures introduced in the literature, this kind of framework enhances overall system performance, especially in reducing calculations and communications, improving real-time performance. Meanwhile a general basic belief assignment function (gbbaf) is constructed to deal with the uncertain and imprecise information obtained by sonar sensors with the application of new information fusion method DSmT (dezert and smarandache theory) in the system and consideration of characteristics of sonar sensors. At last, Pioneer II mobile robots are used to carry out experiments of map building for both single-robot system and multi-robot system. The comparison of created ichnography with the real map testified the validity of DSmT and efficiency of multi-robot system for fusing imprecise information and map building proposed by this research.
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