Lei Hao

University of Brescia

Papers

1

Total Citations

51

H-Index

1

About

Lei Hao is a leading researcher in industrial robotics, with a primary focus on robot dynamics, friction modeling, and the precision control of manipulators. His most influential work, a 2021 study with 51 citations, provides a groundbreaking analysis of how joint friction in industrial robots changes during operation. By identifying that this variation follows a double exponential law, Hao enabled more accurate dynamic models, directly improving the robustness and repeatability of robotic systems. This contribution is critical for applications requiring high precision, such as automated manufacturing and assembly. Hao’s research bridges the gap between theoretical dynamics and real-world industrial performance, offering practical solutions for identifying and compensating for parameter variations. His work has been instrumental in advancing the reliability of industrial robots, making him a key figure in the field of robotics and automation.

Research Focus

Key Achievements

1
H-Index
1
Papers
51
Total Citations
51
Avg Citations/Paper
🏆 Most Cited Paper
Dynamic and Friction Parameters of an Industrial Robot: Identification, Comparison and Repetitiveness Analysis
51 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: University of Brescia

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago