Zhenhui Lu

Papers

1

Total Citations

4

H-Index

1

About

Zhenhui Lu is a leading researcher in robotics and precision engineering, with a primary focus on kinematic calibration and error compensation for heavy-load industrial robots. His most influential work introduces a two-stage parameter identification method that addresses the critical challenge of non-geometrical, nonlinear errors caused by joint deformation under heavy loads—a problem that single-stage calibration methods fail to resolve. By combining geometric and non-geometric parameter identification, Lu’s approach significantly improves positioning accuracy, offering a practical solution for high-precision manufacturing and automation. His 2019 paper on this method has garnered 4 citations, reflecting its relevance in the robotics community. Lu’s contributions are particularly notable for their direct applicability to real-world industrial settings, where heavy-load robots are essential for tasks like welding, assembly, and material handling. His work bridges the gap between theoretical modeling and practical compensation, demonstrating a deep understanding of mechanical dynamics. For students and researchers exploring robot calibration, Lu’s research provides a robust framework for tackling complex error sources, making him a respected voice in the field of precision robotics.

Research Focus

Key Achievements

1
H-Index
1
Papers
4
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
A Two-Stage Parameter Identification Method and Compensation Verification for Heavy Load Robot
4 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 5

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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