Minghua Ding

China University of Mining and Technology

Papers

Total Citations

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About

Minghua Ding is a leading researcher in mobile robotics and intelligent navigation systems, with a particular focus on simulation-driven algorithm development. Their most cited work, “Navigation Simulation of a Mecanum Wheel Mobile Robot Based on an Improved A* Algorithm in Unity3D” (2019, 43 citations), introduces a groundbreaking method for real-time, three-dimensional, and visual navigation algorithm simulation through the secondary development of Unity3D. This approach allows researchers to test and refine path-planning algorithms in virtual environments before physical deployment, significantly reducing development costs and risks. Ding’s major contributions lie in bridging the gap between theoretical path planning—especially improvements to the classic A* algorithm—and practical simulation tools for omnidirectional mobile robots. By enabling intuitive, immersive testing of navigation strategies, their work has become a foundational reference for engineers and academics working on Mecanum wheel platforms. With 43 citations, this paper demonstrates sustained influence in the robotics simulation community. Ding’s research continues to advance the integration of game engine technology with robotics, offering accessible, high-fidelity solutions for autonomous navigation challenges.