Linlin Gao

Papers

1

Total Citations

4

H-Index

1

About

Linlin Gao is a researcher whose work centers on the mechanics and control of collaborative robots, with a particular focus on the precision and efficiency of integrated robotic joints. Her key research areas include harmonic drive dynamics, friction modeling, and torque control accuracy in robotic systems. In her most notable study, "Harmonic drive friction loss based on an integrated joint for collaborative robots" (2024), Gao developed an integrated joint dynamics model to analyze how internal friction loss in harmonic drives affects torque control precision—a critical challenge for safe and accurate human-robot collaboration. By systematically investigating the sources of friction within the transmission, her work provides foundational insights for improving the responsiveness and reliability of collaborative robots. Though early in her citation impact, with 4 citations to date, this research addresses a pressing need in robotics engineering. Gao’s contributions are particularly valuable for advancing the design of more sensitive and efficient robot joints, directly supporting the development of next-generation automation in manufacturing and service robotics.

Research Focus

Key Achievements

1
H-Index
1
Papers
4
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Harmonic drive friction loss based on an integrated joint for collaborative robots
4 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 5

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago