A*搜索算法
最短路径问题
路径(计算)
延氏算法
明星(博弈论)
运动规划
算法
约束最短路径优先
K最短路径路由
计算机科学
快速通道
最宽路径问题
任意角度路径规划
最长路径问题
最短路径快速算法
数学优化
人工智能
Dijkstra算法
数学
机器人
理论计算机科学
图形
计算机网络
数学分析
程序设计语言
作者
Ju Chen,Qinghua Luo,Xiao Yan
出处
期刊:2020 11th International Conference on Prognostics and System Health Management (PHM-2020 Jinan)
日期:2020-10-01
被引量:46
标识
DOI:10.1109/phm-jinan48558.2020.00012
摘要
There has been a heated issue in the field of robotics about how to plan the shortest path of a map with obstacles. This papers mainly analysis the issues about the path planned are not the shortest path by the A-star algorithm under certain conditions. An effective method is proposed which is called an improved A-star algorithm. The improved A-star algorithm is proposed to solve path planning under certain conditions, which can find a shorter path in contrast of other related methods. The simulation results show that the proposed algorithms are effective to settle above the issue, in which the path generated by the improved A-star algorithm has a shorter path than the path of other improved A-star algorithms.
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