Papers

30

Total Citations

450

H-Index

10

About

Yueqing Yu is a robotics researcher whose work spans impedance control, flexible robot dynamics, and precision manipulation systems. His most significant contribution is in the domain of impedance control for robotic manipulation, where his 2019 tutorial survey — now cited 158 times — has become an essential reference for researchers seeking to understand how robots achieve compliant, adaptive interactions with uncertain environments. An earlier 2017 overview on the same topic (44 citations) further cemented his role as a leading synthesizer of this field. Beyond control theory, Yu has made substantial contributions to the dynamics of flexible parallel robots, developing finite element-based modeling approaches for systems with elastic links and investigating coupling effects between rigid and flexible motion. His 2011 experimental study on the 3-RRR flexible parallel robot demonstrated practical validation of these theoretical frameworks. Yu's research also extends into emerging application areas, including the automated micromanipulation of zebrafish embryos using electrothermal microgrippers, reflecting a versatile research vision bridging macro-scale robotics and biomedical microrobotics. His work on dual-arm modular robots and optical position feedback further highlights a sustained interest in precision coordination and collaborative robotic systems. Across his career, Yu has built a body of work that meaningfully advances both the theory and practice of intelligent robotic manipulation.

Research Focus

Key Achievements

10
H-Index
30
Papers
450
Total Citations
15
Avg Citations/Paper
🏆 Most Cited Paper
A Tutorial Survey and Comparison of Impedance Control on Robotic Manipulation
158 citations · 2019
📈 Most Prolific Year: 2011 (6 Papers)
🤝 Key Collaborators: 44
🏛 Institutions: Beijing University of Technology, Beijing Polytechnic

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago