Dingguang Dong

Papers

Total Citations

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About

Dingguang Dong is a researcher specializing in mobile robotics and intelligent path planning, with a focus on optimizing navigation algorithms for complex environments. His most-cited work, "Mobile Robot Path Planning based on Improved Genetic Algorithm With A-star Heuristic Method" (2020, 31 citations), introduces a novel hybrid approach that integrates the heuristic efficiency of the A* algorithm into genetic algorithms. This innovation significantly enhances search capabilities in complicated grid-based maps, enabling robots to find optimal or near-optimal paths with reduced computational overhead. By combining evolutionary adaptability with deterministic heuristics, Dong’s method addresses key limitations in traditional path planning—such as premature convergence and inefficiency in large-scale environments. His contributions are particularly relevant to autonomous systems, warehouse logistics, and service robotics, where real-time navigation is critical. With 31 citations, this paper has already influenced subsequent work in intelligent transportation and mobile robot control. Dong’s research continues to push the boundaries of algorithm hybridization, offering practical solutions for safer, faster, and more reliable robot movement in dynamic, obstacle-rich settings.