Papers

22

Total Citations

159

H-Index

7

About

Xinan Pan is a leading researcher in the design, modeling, and optimization of robotic systems, with a particular focus on collaborative robots (cobots) and modular reconfigurable robots. Their work addresses critical challenges in robot performance, including stiffness, accuracy, and elastic deformation. Pan’s major contributions include developing multi-objective global optimum design methods for collaborative robots, which have been cited 22 times, and pioneering optimal configuration selection for stiffness identification in 7-DOF cobots (18 citations). They have also advanced the synthesis of pose repeatability based on ISO 9283 standards (15 citations) and created elastic deformation models that account for gravity to improve positioning accuracy (13 citations). Pan’s research extends to automatic kinematic modeling of modular reconfigurable robots (11 citations) and the mechanism design of specialized robots, such as an insulator cleaning robot for power transmission lines (10 citations). With a total of over 100 citations across their top papers, Pan’s work has significantly influenced the development of more precise, efficient, and adaptable robotic systems, making them a key figure in advancing collaborative and modular robotics for industrial applications.

Research Focus

Key Achievements

7
H-Index
22
Papers
159
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
Multi-objective global optimum design of collaborative robots
22 citations · 2020
📈 Most Prolific Year: 2019 (3 Papers)
🤝 Key Collaborators: 34
🏛 Institutions: Shenyang Institute of Automation, Chinese Academy of Sciences

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago