Research on path planning optimization of unmanned system based on improved A* algorithm

In the context of path planning for unmanned device logistics delivery in complex environments, traditional A* algorithms suffer from issues such as path non-smoothness and low search efficiency. This study proposes an improved A* algorithm that enhances path smoothness and search efficiency through dynamic weight adjustment and motion direction optimization mechanisms. Experimental results demonstrate that the improved algorithm reduces search time and computational complexity while significantly optimizing path smoothness and dynamic obstacle avoidance capabilities, thereby better adapting to the demands of complex battlefield environments and providing a more efficient path planning solution for military logistics support.