TY - DATA T1 - Data underlying the research on path planning of robot unknown environment based on improved A * algorithm PY - 2023/09/29 AU - Bo Wei Xu AU - Jun Peng Zhang UR - DO - 10.4121/285af7be-36da-4b69-a75d-bf822ebc107f.v1 KW - Robotic KW - A* algorithm KW - Optimally Controlled KW - Kinematics KW - Mobile robots KW - Path planning combination KW - smooth path KW - Robot navigation N2 -

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.

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