Shuo Duan

Shenyang Normal University, Shenyang Ligong University

Papers

Total Citations

H-Index

About

Shuo Duan’s research centers on mobile robot path planning, with a focus on computational geometry and optimization algorithms. Their major contributions include pioneering the use of Voronoi diagrams to model robot workspaces, enabling the identification of globally shortest paths through an improved Dijkstra algorithm. This work, published in 2010, has garnered 27 citations and remains a foundational reference for efficient navigation in obstacle-laden environments. Duan further advanced the field by introducing Delaunay graphs for workspace modeling, employing Floyd’s algorithm to compute approximate shortest paths, and integrating adaptive genetic algorithms to refine trajectory optimization—a study cited 6 times. These contributions demonstrate a systematic approach to balancing path optimality with computational efficiency, addressing key challenges in autonomous navigation. Duan’s work is notable for bridging geometric modeling with heuristic search methods, offering practical solutions for real-time mobile robot control. Their research has influenced subsequent studies in robotics and automation, providing a clear framework for path planning that prioritizes both accuracy and adaptability. For students and researchers, Duan’s papers serve as essential reading for understanding how geometric structures can streamline robot motion in complex environments.