Xiaohui Guo

Beijing Advanced Sciences and Innovation Center

Papers

Total Citations

H-Index

About

Xiaohui Guo is a researcher working at the intersection of industrial automation, cloud computing, and intelligent systems, with a focus on developing next-generation platforms for robotic operation and management. His most recognized work, "Cloud-Edge Collaborative Industrial Robotic Intelligent Service Platform" (2020), addresses a critical challenge in modern manufacturing: the growing inadequacy of traditional robot management methods in the face of rapidly expanding industrial robot installations. By leveraging cloud computing and big data technologies in a collaborative edge-cloud architecture, Guo's research proposes scalable, intelligent solutions that bridge the gap between physical robotic systems and advanced digital infrastructure. This contribution has garnered 14 citations, reflecting its relevance to the industrial IoT and smart manufacturing communities. Guo's work speaks directly to the pressing needs of Industry 4.0, offering frameworks that enable more efficient, responsive, and data-driven robotic services in industrial environments. His research is particularly valuable for engineers, computer scientists, and policymakers navigating the transformation of manufacturing through automation and artificial intelligence, positioning him as a contributor to the evolving landscape of intelligent industrial systems.