About

Di Li is a prolific researcher at the intersection of industrial automation, robotics, and intelligent computing, whose work has profoundly shaped the discourse around Industry 4.0 and smart manufacturing. With expertise spanning the Industrial Internet of Things (IIoT), fog and cloud computing, cloud robotics, and robotic sensing systems, Li has consistently bridged emerging digital infrastructures with real-world industrial applications. His landmark 2016 paper on Software-Defined IIoT has garnered over 677 citations, establishing foundational frameworks for integrating industrial wireless networks and big data into next-generation manufacturing. Complementary contributions on fog computing for smart factory scheduling (323 citations) and context-aware cloud robotics for material handling (168 citations) further demonstrate his sustained influence on intelligent industrial systems. Li's work extends into precision robotics, including Kalman filter-based robot calibration, human-manipulator interfaces, and vision-motion codesign for high-speed visual servoing. Most recently, his fully autonomous robotic ultrasound system for thyroid scanning signals a compelling expansion into medical robotics. Collectively accumulating well over 1,900 citations, Di Li's research portfolio reflects a researcher whose innovations consistently advance the boundaries of autonomous, connected, and intelligent industrial systems.

Research Focus

Key Achievements

19
H-Index
29
Papers
2,327
Total Citations
80
Avg Citations/Paper
🏆 Most Cited Paper
Software-Defined Industrial Internet of Things in the Context of Industry 4.0
677 citations · 2016
📈 Most Prolific Year: 2020 (5 Papers)
🤝 Key Collaborators: 74
🏛 Institutions: South China University of Technology, Guangzhou Experimental Station, Shandong University of Technology, Southern Medical University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago