Tiegang Xue

Papers

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About

Dr. Tiegang Xue is a leading researcher in intelligent robotics and autonomous navigation, with a primary focus on path planning and motion control for mobile robots. His most impactful work addresses a critical limitation of the Dynamic Window Approach (DWA)—its tendency to fall into local optima during local path planning. In his highly cited 2019 paper, "An Improved Dynamic Window Approach Integrated Global Path Planning" (20 citations), Dr. Xue introduced a novel evaluation function that fuses global path planning results as a reference trajectory, enabling robots to navigate complex environments more efficiently and avoid dead ends. This contribution bridges the gap between global and local planning, offering a practical solution for real-time autonomous navigation. Dr. Xue's research has significant implications for service robots, autonomous vehicles, and industrial automation, where robust, collision-free movement is essential. His work continues to influence the development of more intelligent and adaptive robotic systems, making him a notable figure in the field of mobile robotics and control systems.