A vision agent for mobile robot navigation in time-variable environments

A. Chella, Salvatore Vitabile, R. Sorbello
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引用次数: 5

Abstract

We present an architecture for mobile robot navigation based on Bayesian networks. The architecture allows a robot to plan the correct path inside an environment with dynamic obstacles. Interactions between the robot and the environment are based on a powerful vision agent. The results of simulations, showing the effectiveness of the approach, are described.
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时变环境下移动机器人导航的视觉代理
提出了一种基于贝叶斯网络的移动机器人导航体系结构。该架构允许机器人在有动态障碍物的环境中规划正确的路径。机器人和环境之间的交互是基于一个强大的视觉代理。仿真结果表明了该方法的有效性。
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