运动规划
移动机器人
遗传算法
路径(计算)
计算机科学
任意角度路径规划
数学优化
机器人
算法
路径长度
人工智能
数学
机器学习
计算机网络
程序设计语言
作者
Areej Alabbadi,Awos Kanan
出处
期刊:2019 IEEE Jordan International Joint Conference on Electrical Engineering and Information Technology (JEEIT)
日期:2023-05-22
卷期号:: 177-180
被引量:2
标识
DOI:10.1109/jeeit58638.2023.10185855
摘要
In this paper, a Genetic Algorithm is used to solve the path planning problem for autonomous mobile robots in static environments. The goal of the path planning problem is to find a valid and practical path between two points while avoiding obstacles and optimizing a number of criteria including path length, safety, and distance from obstacles. A quality function is proposed to evaluate the optimization approach for different scenarios. Experimental results show that enhanced solutions can be achieved in less time using optimal values of the search algorithm parameters.
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