Lijuan Guo

Papers

1

Total Citations

3

H-Index

1

About

Lijuan Guo is a leading researcher in robotic assembly and compliant manipulation, with a focus on industrial automation challenges. Her work centers on developing hybrid compliant strategies for complex assembly tasks, particularly in the context of robotic drain line connection—a critical operation in manufacturing. Guo’s major contribution lies in her innovative integration of active and passive compliance, enabling precise multiple peg-in-hole assembly through a novel hybrid compliant device. Her 2022 paper, "Hybrid Compliant Strategy for Multiple Peg-in-Hole Assembly in Robotic Drain Line Connection," introduces a method that combines gravity compensation with an admittance controller to achieve robust single peg-in-hole alignment, laying the groundwork for scalable multi-step assembly. With 3 citations, this work is gaining traction among researchers in robotics and automation. Guo’s achievements include advancing the practical application of compliant robotics in real-world manufacturing settings, addressing long-standing challenges in precision and adaptability. Her research is particularly valuable for students and engineers seeking to understand how hybrid compliance can bridge the gap between theoretical control and industrial deployment, making her a notable contributor to the field of robotic assembly.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Hybrid Compliant Strategy for Multiple Peg-in-Hole Assembly in Robotic Drain Line Connection
3 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 4

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago