Xiaowei Liang
Papers
1
Total Citations
2
H-Index
1
About
Xiaowei Liang is a researcher at the forefront of intelligent manufacturing, specializing in the integration of industrial robotics, the Internet of Things (IoT), and advanced software-hardware systems. Their most-cited work, "Application of Industrial Robot and Internet of Things in Intelligent Manufacturing System Supported by Software and Hardware" (2022), provides a foundational framework for modern smart factories by systematically analyzing the necessary resources across three critical layers: the basic, platform, and application layers. This contribution offers a clear roadmap for deploying interconnected, automated production environments, bridging the gap between theoretical IoT architectures and practical industrial implementation. While still early in their career, Liang's research has already garnered attention for its comprehensive, multi-tiered approach to manufacturing digitization. Their work is particularly valuable for engineers and system architects seeking to understand how to harmonize physical robotic hardware with digital control platforms. By clarifying the interplay between software and hardware in IoT-enabled manufacturing, Liang is helping to shape the next generation of adaptive, data-driven production systems—a vital step toward Industry 4.0.
Research Focus
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Top Papers
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