Yangyang Shi

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About

Dr. Yangyang Shi is a robotics researcher whose work centers on autonomous navigation and dynamic obstacle avoidance for mobile robots. Their most notable contribution is an improved artificial potential field (APF) method, detailed in their 2022 paper, which integrates the Bug2 algorithm to overcome critical limitations in traditional APF approaches. Specifically, Dr. Shi’s method eliminates trajectory oscillations and prevents avoidance failure when robots encounter complex or moving obstacles, addressing long-standing challenges in real-world robotic motion planning. This work has garnered 13 citations to date, reflecting its relevance to researchers tackling safe and efficient robot navigation in cluttered environments. By enhancing the reliability of APF-based systems, Dr. Shi’s research supports advancements in autonomous vehicles, warehouse logistics, and service robotics. Their focus on practical, robust solutions for dynamic settings marks them as a contributor to the ongoing evolution of intelligent robotic systems, making their work a valuable reference for students and engineers developing next-generation autonomous platforms.