Mingze Jiang

Papers

Total Citations

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About

Mingze Jiang is a researcher in robotics and autonomous navigation, with a primary focus on path planning and optimization algorithms. His most cited work, "Robot path planning based on improved A* algorithm" (2023, 6 citations), addresses critical limitations in classical A* pathfinding by introducing a weighted WA* algorithm. Jiang’s key contribution lies in developing a novel distance function that significantly reduces computational resource usage and enhances search efficiency, effectively tackling the problems of excessive polyline paths and inflated search nodes common in conventional approaches. This work demonstrates his ability to refine foundational algorithms for practical robotic applications, improving both speed and path quality. While his citation count is still growing, Jiang’s research holds promise for advancing autonomous systems in dynamic environments. His work is particularly relevant for students and researchers interested in mobile robotics, artificial intelligence, and efficient navigation solutions. As an emerging scholar, Jiang’s contributions to algorithm optimization position him as a thoughtful innovator in the field of intelligent robotics.