Xiangpeng Zhuang

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About

Xiangpeng Zhuang is a leading researcher in the field of indoor mobile robot positioning and sensor fusion. His primary contributions center on developing robust, real-time navigation systems that overcome the limitations of low-cost inertial sensors. Zhuang’s most influential work, “Data Fusion for Indoor Mobile Robot Positioning Based on Tightly Coupled INS/UWB” (2017, 63 citations), introduces a novel tightly coupled integration of Ultra Wide Band (UWB) radio and an Inertial Navigation System (INS). This approach dramatically reduces the accumulated drift error inherent in Micro-Electromechanical Systems (MEMS) INS, enabling reliable tracking in GPS-denied environments. By fusing these complementary technologies, Zhuang has advanced the practicality of autonomous indoor navigation for mobile robots, directly impacting applications in logistics, industrial automation, and emergency response. His work is widely cited by researchers seeking to balance cost, accuracy, and real-time performance in positioning systems. Zhuang’s research continues to shape the development of resilient, high-precision navigation solutions for the next generation of autonomous systems.