Chen Qing-Xie

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About

Chen Qing-Xie is a leading researcher in intelligent logistics and warehouse automation, with a focus on flexible, agile robotic systems. His work addresses the pressing challenges of modern e-commerce, where logistics demand has shifted toward small batches, high variety, and rapid, low-cost delivery. Chen’s major contributions lie in developing navigation and control algorithms for autonomous guided vehicles (AGVs) and mobile robots operating in dynamic warehouse environments. His most cited paper, “A robot navigation method based on RFID and QR code in the warehouse” (2017, 28 citations), proposes a hybrid localization system that combines RFID and QR codes to enable precise, cost-effective robot navigation—a key innovation for flexible warehousing. In his subsequent work, “Research on visual navigation algorithm of AGV used in the small agile warehouse” (2017, 14 citations), he advances visual navigation techniques tailored for small, multi-user, and multi-variety automated warehouses, moving beyond traditional AGV limitations. Chen’s research has significant practical impact, directly supporting the evolution of logistics infrastructure toward greater adaptability and efficiency. His achievements are recognized as foundational to the next generation of smart warehouse systems.