Papers

9

Total Citations

160

H-Index

6

About

Lecheng Ruan is a leading researcher at the intersection of wearable robotics, bioinspired actuation, and human-robot interaction. His work focuses on developing intelligent robotic systems that seamlessly augment human capabilities, with major contributions spanning Supernumerary Robotic Limbs (SuperLimb) for overhead tasks, bioinspired cable-driven actuators, and novel estimation methods for center of mass and pressure during human walking. Ruan’s research has garnered significant attention, with his most-cited paper on SuperLimb modeling and balance control accumulating 44 citations, while his bioinspired actuation system and wearable visual odometry device each have 30 citations. Notably, his work on tactile-informed manipulation (Tac-Man) and triboelectric/iontronic dual-responsive ionic skin represents cutting-edge advances in dexterous robotic manipulation. Ruan has also pioneered a learning-free locomotion mode prediction method using terrain reconstruction and visual-inertial odometry, and developed energy-efficient prosthetic designs including a robotic transtibial prosthesis with equilibrium-adjustable parallel springs and bioinspired origami-based soft prosthetic knees. His mode-switchable elastic actuator further demonstrates his commitment to interactive robotic applications. Through these innovations, Ruan is shaping the future of wearable robotics and prosthetics, making human-robot collaboration more intuitive, efficient, and accessible.

Research Focus

Key Achievements

6
H-Index
9
Papers
160
Total Citations
18
Avg Citations/Paper
🏆 Most Cited Paper
Modeling and Balance Control of Supernumerary Robotic Limb for Overhead Tasks
44 citations · 2021
📈 Most Prolific Year: 2024 (4 Papers)
🤝 Key Collaborators: 40
🏛 Institutions: Beijing Academy of Artificial Intelligence, University of California, Los Angeles, Peking University

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4
  5. 5
  6. 6
  7. 7
  8. 8
  9. 9

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago