基于改进A*算法的仿生机器鱼全局路径规划
Improved A* Algorithm Based Global Path Planning for Bio-mimetic Robotic Fish
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摘要: 针对传统A*算法搜索速度慢和规划路径不够优化的缺点, 引入可扩展节点, 对A*算法流程进行改进, 以减少时间和空间复杂度, 提高搜索效率, 并对规划路径进行优化处理, 以有效的缩短路径。对存在凹形障碍物的地图, 采用后退—尝试的方法解决路径规划的失败问题, 使之绕过凹形障碍物取向目标点, 达到输出最短路径的目标。Abstract: A* algorithm is improved to solve its low efficiency and non-optimal path.Introducing successor, the improved algorithm is simplified in its time and space complexity, and the planned path is optimized to make it shorter than before.Considering the concavity obstacles, the planning path may get stuck in concavity traps.A back-try method is given to solve the problem, and make the planning path round the trap instead of getting into it.
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