Xintong Wang

University of Sheffield, Shenyang Institute of Automation

Papers

Total Citations

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About

Xintong Wang is a researcher focused on advancing multi-robot systems and robotic simulation technologies. Her work addresses critical challenges in autonomous coordination and real-time visualization. Wang's most notable contribution is her minimalist solution to the multi-robot barrier coverage problem, which provides an efficient framework for deploying robot teams to monitor and protect perimeters. This foundational work has garnered 3 citations, establishing her early impact in the field. She has also developed innovative approaches to robot simulation, including a fast 3D simulation method using WebGL and Three.js that enables rapid visualization of robotic arms directly in web browsers—a practical tool for researchers and educators. Additionally, Wang has contributed to control theory by proposing a PD-type iterative learning control strategy with a forgetting factor for mobile robot path-tracking, improving trajectory accuracy in repetitive tasks. Her work bridges theoretical algorithms with accessible simulation tools, making her research valuable for both academic study and real-world robotic applications.