Hangfei Li

Qingdao University

Papers

1

Total Citations

62

H-Index

1

About

Hangfei Li is a leading researcher in bioinspired robotics and human–machine interaction, with a focus on developing artificial neuromuscular systems that replicate the sensorimotor coordination of biological organisms. Li’s most-cited work, “An Artificial Neuromuscular System for Bimodal Human–Machine Interaction” (2023, 62 citations), introduces a groundbreaking framework that integrates artificial muscles and neural control to enable robots and interactive systems to perform complex, rhythmic movements with enhanced adaptability. This contribution bridges the gap between soft robotics and neural engineering, offering a pathway toward more intuitive and responsive prosthetics, wearable devices, and collaborative robots. By mimicking the dynamic interplay between muscles and nerves, Li’s research advances the frontier of embodied intelligence, where machines can sense, actuate, and interact with humans in real time. With growing recognition for their work, Li is shaping the future of interactive robotics, making strides toward systems that move and respond with unprecedented naturalism.

Research Focus

Key Achievements

1
H-Index
1
Papers
62
Total Citations
62
Avg Citations/Paper
🏆 Most Cited Paper
An Artificial Neuromuscular System for Bimodal Human–Machine Interaction
62 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Qingdao University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 10 days ago