Huafeng Lu

Beijing Jiaotong University

Papers

4

Total Citations

24

H-Index

3

About

Huafeng Lu is a robotics researcher whose work centers on the trajectory planning, locomotion control, and mechanical design of legged robots. His key contributions span the optimization of bipedal and quadrupedal systems, with a particular focus on enhancing dynamic stability and energy efficiency. Lu’s most-cited paper, “Time-optimal trajectory planning based on event-trigger and conditional proportional control” (2023, 9 citations), introduces a novel control framework that balances actuator constraints with the objective of minimizing motion time. He has also advanced the understanding of swing leg retraction (SLR) in hydraulic biped robots, demonstrating through theory and simulation how this technique improves locomotion performance (2023, 6 citations). In “Perturbation-based approximate analytic solutions to an articulated SLIP model” (2022, 6 citations), Lu provides analytic insights into the complex dynamics of legged locomotion. His work on bionic quadruped robots with flexible spines (2021, 3 citations) explores how spinal mechanics can enhance gait and agility. With a growing citation record, Lu is establishing himself as a thoughtful contributor to the field of bio-inspired robotics, bridging theoretical modeling with practical control strategies.

Research Focus

Key Achievements

3
H-Index
4
Papers
24
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Time-optimal trajectory planning based on event-trigger and conditional proportional control
9 citations · 2023
📈 Most Prolific Year: 2023 (2 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: Beijing Jiaotong University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago