Multi Objective Path Planning in Static Environment using Region of Sight

Hiba Hliwa, Bassam Atieh
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引用次数: 3

Abstract

Finding appropriate path, that avoids the hurdles and reach the goal in optimal way, has been an interesting challenge in recent years. In this paper, we present a new method for robot path planning in a static environment. The main aim; to tackle path planning in simple and fast method, seeks to satisfy many robot movement's requirements such as shortest path length, safety, smoothness with less time consuming. This method ensures that safety and smoothness criteria are already met, path length is then shortening the usage of environment details, where each point of this path can be seen only by its previous and next points. The obtained result is compared with the well-known methods and shows the superiority in simple and complex environments in term of time, smoothness and safety and the obtained path lengths are shorter than those obtained with PSO and ABC as well.
基于视觉区域的静态环境多目标路径规划
寻找合适的路径,避免障碍,以最优的方式达到目标,是近年来一个有趣的挑战。本文提出了一种静态环境下机器人路径规划的新方法。主要目的;以简单、快速的方法解决路径规划问题,力求在最短的路径长度、安全性、平稳性等方面满足机器人运动的要求,同时减少时间消耗。这种方法确保了安全性和平滑性标准已经满足,路径长度缩短了环境细节的使用,其中路径的每个点只能通过它的前一个点和下一个点看到。结果表明,该算法在简单和复杂环境下均具有时间、平稳性和安全性方面的优势,且路径长度也比PSO算法和ABC算法短。
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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