About

Lipeng Yuan’s research lies at the intersection of legged robotics, medical robotics, and mechatronic system optimization, with a focus on enabling precise, robust, and efficient motion in complex environments. His major contributions span three key areas: force sensing and control for hydraulic quadruped robots, where he developed novel calibration methods and multi-objective optimal torque control to improve contact force accuracy and motion tracking under significant model errors; thermal management for miniaturized hydraulic power units, where his work on optimizing rectangular staggered fins heat exchangers using genetic algorithms achieved compact, lightweight designs critical for quadruped robot performance; and medical robotics, particularly prostate seed implantation, where he advanced puncture control methods and robot design for MRI-compatible, low-velocity stability. His most cited paper (27 citations) introduces a one-dimensional force sensor calibration method that directly enhances legged robot locomotion, while his running gait research based on the SLIP model (11 citations) pushes toward high-speed capabilities. With over 140 total citations across ten papers, Yuan’s work demonstrates a rare ability to bridge fundamental control theory, practical hardware optimization, and clinical application—making him a notable figure in both field robotics and surgical mechatronics.

Research Focus

Key Achievements

8
H-Index
13
Papers
151
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
A novel one-dimensional force sensor calibration method to improve the contact force solution accuracy for legged robot
27 citations · 2021
📈 Most Prolific Year: 2022 (4 Papers)
🤝 Key Collaborators: 40
🏛 Institutions: Heilongjiang Institute of Technology, Yanshan University, Harbin Institute of Technology, Hohai University, Cornell University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago