Data underlying the research on path planning of robot unknown environment based on improved A * algorithm

This dataset is a source code file and the code language is MATLAB, Propose an improved algorithm based on the traditional A* algorithm, which expands the search step and search angle - Improv-A*. This algorithm not only improves the search speed but also enhances search efficiency, reducing the total planning distance. In order to achieve a combination of static global path planning and dynamic local path planning, we attempt to integrate Improv-A* algorithm with artificial potential field method to achieve dynamic path planning for unmanned aerial vehicles.

本数据集为MATLAB语言的源代码文件。研究提出了一种基于传统A*算法的改进算法——Improv-A*，该算法拓展了搜索步长与搜索角度。该算法不仅提升了搜索速度，还优化了搜索效率，缩短了总规划距离。为实现静态全局路径规划与动态局部路径规划的结合，本文尝试将Improv-A*算法与人工势场法相融合，以完成无人机的动态路径规划任务。