Autonomous navigation in a known dynamic environment

L. Kiss, A. Várkonyi-Kóczy, P. Baranyi
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引用次数: 7

Abstract

This paper proposes a method for the navigation of an autonomous robot used inside a building. The main problem to be solved in this issue is the need to use both a priori information on the environment and momentary sensor data in an intelligent way, and thus make the robot capable of finding its way around while also avoiding the obstacles, both static and dynamic. In the paper, a hybrid navigation method is proposed, using two techniques that deal with a priori information and sensory data separately. An algorithm for finding the optimal route to the goal using a priori information is suggested. The properties of the complete system are verified by computer simulation.
在已知的动态环境中自主导航
本文提出了一种用于建筑物内部的自主机器人导航方法。在这个问题中需要解决的主要问题是需要以智能的方式使用环境的先验信息和瞬间传感器数据,从而使机器人能够找到自己的路,同时避开静态和动态的障碍物。本文提出了一种基于先验信息和感官数据的混合导航方法。提出了一种利用先验信息寻找最优路径的算法。通过计算机仿真验证了整个系统的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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