Yongjie Ren

Tianjin University

Papers

11

Total Citations

434

H-Index

9

About

Yongjie Ren is a prominent researcher specializing in industrial metrology, robotic calibration, and intelligent measurement systems. His work sits at the intersection of precision engineering and robotics, with a particular focus on developing practical solutions for large-scale, high-accuracy measurement challenges in industrial environments. Ren's most influential contribution — his 2014 work on integrated 3D scanning systems for large-scale metrology (115 citations) — established foundational frameworks for high-precision spatial measurement. This research, alongside his extensive body of work on robot calibration, has significantly advanced the field. His 2012 paper on robot-laser scanning system calibration (60 citations) introduced innovative methods for determining positional and orientational relationships between laser sensors and robotic manipulators, while his 2013 vision-based self-calibration approach (57 citations) offered a practical, apparatus-free solution deployable directly on the factory floor. Collectively accumulating over 430 citations, Ren's research has addressed critical challenges in thermal error compensation, tool center frame calibration, and kinematic parameter identification. More recently, he has extended his expertise toward mobile robot localization and omnidirectional AGV positioning, demonstrating a sustained commitment to bridging precision metrology with autonomous industrial systems. His work remains essential reading for engineers and researchers pursuing robust, real-world robotic measurement solutions.

Research Focus

Key Achievements

9
H-Index
11
Papers
434
Total Citations
39
Avg Citations/Paper
🏆 Most Cited Paper
Development and calibration of an integrated 3D scanning system for high-accuracy large-scale metrology
115 citations · 2014
📈 Most Prolific Year: 2014 (3 Papers)
🤝 Key Collaborators: 15
🏛 Institutions: Tianjin University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago