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About

Xiulong Liu is a prominent researcher specializing in cyber-physical systems (CPS), RFID-based localization, mobile robotics, and smart warehousing technologies for Industry 4.0 applications. His work sits at the intersection of Internet of Things, computer vision, and autonomous systems, addressing real-world challenges in intelligent manufacturing and warehouse automation. Liu's most influential contribution, a 2018 survey on CPS-based smart warehouses (114 citations), established a foundational framework for understanding how cutting-edge cyber-physical technologies enable next-generation industrial logistics. Building on this, his 2019 paper on RFID-augmented robot localization (99 citations) introduced accurate methods for pinpointing tagged objects in warehouse environments, directly enabling applications like automated item retrieval and misplacement detection. His subsequent research tackled critical practical limitations of existing systems, including robot speed instability, with works like SILoc and his 2024 robust RFID localization study pushing the boundaries of real-world deployability. More recently, Liu has pioneered fusion approaches combining RFID with computer vision, notably for 6D object pose estimation and smart library inventory management, demonstrating a sophisticated evolution toward multi-modal sensing systems. Collectively, his publications reflect a consistent commitment to bridging theoretical innovation with tangible industrial impact.