A learning algorithmic scheme for collision free navigation

N. Bourbakis
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引用次数: 1

Abstract

A learning algorithmic scheme for collision-free navigation is presented. This scheme determines the minimum collision-free navigation path of an autonomous platform by using a trial and error process and past navigation knowledge and by extracting the current information from the surrounding environment. This scheme is related to the Odysseus autonomous navigation platform. However, it could be made into a general-purpose scheme with simple modifications. Simulated results for an illustrative example in a graphical representation are provided.<>
无碰撞导航的学习算法方案
提出了一种无碰撞导航的学习算法。该方案利用试错过程和过去的导航知识,并从周围环境中提取当前信息,确定自主平台的最小无碰撞导航路径。本方案与奥德修斯自主导航平台有关。然而,通过简单的修改,它可以成为一个通用的方案。给出了一个图解示例的仿真结果
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