Fuyang Cheng

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About

Fuyang Cheng is a rising researcher in the field of robotics and digital twin technology, with a focus on intelligent mobile robot systems. Their work centers on the design, control, and autonomous navigation of wheeled and omnidirectional mobile robots, leveraging digital twin frameworks to bridge the gap between physical and virtual spaces. In their highly cited 2023 paper, Cheng introduced a comprehensive digital twin system for unit-level wheeled mobile robots, integrating physical and virtual models with data processing and application services to enable high-fidelity, intelligent management. This foundational work has garnered 13 citations, reflecting its impact on the robotics community. Building on this, Cheng’s 2024 study proposed a novel autonomous navigation and control method for omnidirectional mobile robots using digital twins, further advancing real-time, data-driven robotic autonomy. Their contributions are notable for enhancing the precision and efficiency of mobile robot operations in complex environments, with potential applications in manufacturing, logistics, and smart systems. Cheng’s research is a valuable resource for students and engineers exploring the intersection of robotics, control systems, and digital twin technology.