Xufei Yan

Zhejiang Lab

Papers

1

Total Citations

11

H-Index

1

About

Xufei Yan is a researcher specializing in bipedal locomotion and robotics, with a focus on optimizing gait patterns and enhancing dynamic stability. Their major contribution lies in the development of an energy-based stability criterion, a novel framework that enables more intuitive and generalizable control of biped walking. This approach, detailed in their highly regarded 2023 paper "Gait optimization and energy-based stability for biped locomotion using large-scale programming," has garnered 11 citations, reflecting its growing influence in the field. Yan’s work bridges the gap between theoretical stability analysis and practical robotic implementation, offering a straightforward method for generating stable, energy-efficient locomotion patterns. By leveraging large-scale programming techniques, they have advanced the feasibility of dynamic walking in bipedal systems, a critical challenge in humanoid robotics. Their research is particularly valuable for students and engineers seeking to understand how energy-based metrics can simplify complex stability problems, making biped robots more robust and adaptable in real-world environments.

Research Focus

Key Achievements

1
H-Index
1
Papers
11
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
Gait optimization and energy-based stability for biped locomotion using large-scale programming
11 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Zhejiang Lab

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago