Papers

2

Total Citations

12

H-Index

2

About

Lin Lang is an emerging researcher specializing in rehabilitation robotics, human-robot interaction, and advanced control systems for assistive technologies. Their work primarily focuses on developing intelligent control frameworks for prosthetic limbs and exoskeletons, addressing some of the most persistent challenges in the field of wearable robotic devices. Lang's most notable contribution to date is a sophisticated control scheme for robotic knee prostheses that elegantly balances two competing demands: precise trajectory tracking and responsive wearer intention detection. By integrating an admittance model with a sliding-mode controller, this work delivers compliant, robust, and continuous control — a long-sought solution in prosthetics research that has already garnered 7 citations since its 2022 publication. Complementing this, Lang's research on scaled force control for performance-augmenting exoskeletons, accumulating 5 citations, further demonstrates a commitment to enhancing human physical capability through intelligent robotic systems. Though early in their research career, Lang's dual focus on both assistive and augmentative wearable robotics positions them at the forefront of a rapidly growing field. Students and researchers exploring rehabilitation engineering, biomechatronics, or human-centered control systems will find Lang's work a valuable and practically grounded reference.

Research Focus

Key Achievements

2
H-Index
2
Papers
12
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Robust and compliance control for robotic knee prosthesis using admittance model and sliding-mode controller
7 citations · 2022
📈 Most Prolific Year: 2022 (2 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: Hunan University of Finance and Economics, National University of Defense Technology

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago