Novel path planning method using marine predator algorithm for mobile robot

IF 1.2 4区 计算机科学 Q4 AUTOMATION & CONTROL SYSTEMS
Qiang Wang, Yinghui Huang
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引用次数: 0

Abstract

The main goal of robot path planning is to design an optimal path for a robot to navigate from its starting point to its goal while avoiding obstacles and optimizing certain criteria. A novel method using marine predator algorithm which is used in the field of robot path planning is presented. The proposed method has two steps. First step is to build a mathematical model of path planning while second step is optimization process using marine predator algorithm. Simulation results show that the proposed method works well and has good performance in different situations. Therefore, this method is an effective method for robot path planning and related applications.
使用海洋捕食者算法的新型移动机器人路径规划方法
机器人路径规划的主要目标是为机器人设计一条从起点到目标的最佳路径,同时避开障碍物并优化某些标准。本文介绍了一种新方法,该方法采用了机器人路径规划领域常用的海洋捕食者算法。该方法分为两个步骤。第一步是建立路径规划的数学模型,第二步是使用海洋捕食者算法进行优化。仿真结果表明,所提出的方法在不同情况下都能很好地发挥作用。因此,该方法是机器人路径规划和相关应用的有效方法。
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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来源期刊
Archives of Control Sciences
Archives of Control Sciences Mathematics-Modeling and Simulation
CiteScore
2.40
自引率
33.30%
发文量
0
审稿时长
14 weeks
期刊介绍: Archives of Control Sciences welcomes for consideration papers on topics of significance in broadly understood control science and related areas, including: basic control theory, optimal control, optimization methods, control of complex systems, mathematical modeling of dynamic and control systems, expert and decision support systems and diverse methods of knowledge modelling and representing uncertainty (by stochastic, set-valued, fuzzy or rough set methods, etc.), robotics and flexible manufacturing systems. Related areas that are covered include information technology, parallel and distributed computations, neural networks and mathematical biomedicine, mathematical economics, applied game theory, financial engineering, business informatics and other similar fields.
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