Papers
2
Total Citations
211
H-Index
2
About
Dr. Xinlai Liu is a leading researcher at the forefront of smart manufacturing and digital twin technology. His work centers on revolutionizing industrial processes through real-time digital synchronization and intelligent automation. Dr. Liu’s most impactful contribution is his pioneering digital twin-driven framework for precast on-site assembly, which enables seamless integration of planning, scheduling, and execution—a paper that has garnered 134 citations for its practical significance in construction automation. He further advanced the field with a highly cited study (77 citations) demonstrating how digital twins can optimize robotic cells for reduced energy consumption, directly addressing the industry’s push toward sustainable smart manufacturing. By leveraging the Internet of Things, big data, and artificial intelligence, Dr. Liu’s research provides tangible pathways for manufacturing industries to achieve true digitalization. His work is not only academically influential but also offers actionable solutions for energy efficiency and operational precision, making him a key figure in the transition toward fully intelligent, data-driven production systems.
Research Focus
Key Achievements
Top Papers
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