Papers

4

Total Citations

32

H-Index

3

About

Chenchen Li’s research spans wearable electronics, soft robotics, and intelligent locomotion, with a focus on developing flexible sensors and autonomous navigation systems for next-generation robots and healthcare devices. In their highly cited 2022 work, Li engineered a highly sensitive and stretchable strain sensor using dopamine-modified electrospun styrene-ethylene-butylene-styrene (SEBS) yarns and multi-walled carbon nanotubes—a breakthrough that enables real-time motion detection for virtual reality and medical monitoring, garnering 14 citations. Building on this, Li’s 2024 paper introduced a tightly-coupled LIDAR-IMU SLAM method specifically for quadruped robots, solving mapping failures caused by unsmooth motion and earning 13 citations for advancing autonomous navigation in challenging terrains. Earlier, Li contributed to humanoid robotics with an online trajectory generation system for the BHR-02 robot, demonstrating expertise in real-time control. Most recently, their 2025 work on environmentally friendly melt-spun polyurethane fibers modified with polylactic acid and silicone highlights a commitment to sustainable healthcare materials. With a career bridging sensor innovation, robotic perception, and green manufacturing, Li’s research continues to impact wearable tech and robotics communities.

Research Focus

Key Achievements

3
H-Index
4
Papers
32
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
A Highly Sensitive and Flexible Strain Sensor Based on Dopamine-Modified Electrospun Styrene-Ethylene-Butylene-Styrene Block Copolymer Yarns and Multi Walled Carbon Nanotubes
14 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 21
🏛 Institutions: Qingdao University, Shanghai University of Engineering Science

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago