Yuhang Jiang

University of Science and Technology Liaoning

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About

Yuhang Jiang is a researcher in mobile robotics, specializing in path planning and dynamic obstacle avoidance. Their work focuses on enhancing autonomous navigation by refining classical algorithms to operate effectively in complex, real-world environments. A key contribution is the development of an integrated approach that combines an improved A* algorithm with the Dynamic Window Approach (DWA). This method addresses critical limitations of traditional A*—such as generating overly long paths and excessive nodes—while enabling robots to dynamically avoid moving obstacles. Their most-cited paper, "Robot Path Planning Research Incorporating Improved A* Algorithm and DWA Algorithm" (2023), has garnered 8 citations, reflecting its practical relevance in advancing robot autonomy. Jiang’s research bridges the gap between static path optimization and real-time adaptive control, offering a robust solution for mobile robots navigating unpredictable settings. This work holds significant promise for applications in logistics, service robotics, and autonomous vehicles, marking Jiang as an emerging contributor to intelligent navigation systems.