Papers
3
Total Citations
144
H-Index
3
About
Lan Li is a pioneering researcher at the intersection of digital twin technology, cloud robotics, and industrial automation. Her most influential work, "Digital twin-based industrial cloud robotics: Framework, control approach and implementation" (2020), has garnered 125 citations, establishing a foundational framework that integrates real-time digital replicas with cloud-enabled robotic systems for smart manufacturing. This contribution has significantly advanced the field by enabling more adaptive, efficient, and remotely controllable industrial processes. Li has also made notable strides in specialized robotic applications, including the development of a full automatic inspection system for overhead transmission lines (2017, 16 citations) and a location-based service positioning technique for pipeline robots (2019, 3 citations). Her research demonstrates a consistent focus on bridging virtual modeling with physical robotic operations, addressing critical challenges in infrastructure maintenance and industrial automation. Through her work, Li has provided both theoretical insights and practical demonstrations that continue to influence the evolution of intelligent robotic systems in complex industrial environments.
Research Focus
Key Achievements
Top Papers
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- 3Study on LBS-based Positioning Technique of Pipeline Robot3 citations · 2019