A Dynamic Adaptive Search Algorithm for CoSpace Rescue Robot

Liang Chengbo, Wang Xiaoming, Huang Zixi, Pan Guangyao, Han Xinyu, Lin Yaguang
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引用次数: 0

Abstract

The application of robots to assist humans in earthquake rescue has always been an important topic that researchers are constantly studying. CoSpace Rescue is an abstract modeling and simulation of earthquake rescue and a simulation platform for studying robot rescue search algorithms. Its mathematical model is a multi-objective optimization problem. In this paper, we propose a search algorithm design framework for the CoSpace Rescue robot. Based On this framework and the idea of the heuristic search algorithm, we design and implement the “Multi-objective Optimal Dynamic Adaptive On-Demand Search Algorithm”. The results of the experiment show that the algorithm can dynamically adapt to the changes in the environment and significantly improve the search efficiency of the rescue robot.
CoSpace救援机器人的动态自适应搜索算法
应用机器人辅助人类进行地震救援一直是研究人员不断研究的重要课题。CoSpace Rescue是地震救援的抽象建模与仿真,是研究机器人救援搜索算法的仿真平台。其数学模型是一个多目标优化问题。本文提出了一种面向CoSpace救援机器人的搜索算法设计框架。基于该框架和启发式搜索算法的思想,设计并实现了“多目标最优动态自适应按需搜索算法”。实验结果表明,该算法能够动态适应环境的变化,显著提高救援机器人的搜索效率。
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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