Papers

6

Total Citations

50

H-Index

5

About

Chengyang Li is a rising researcher at the intersection of soft robotics, smart materials, and autonomous navigation. His work centers on developing bioinspired actuators and robotic systems that can self-deploy, reconfigure, and navigate complex environments with unprecedented adaptability. Li’s major contributions include pioneering a residual stress approach for smart material-based multilayered microbeam structures, enabling spatial self-deployment and reconfiguration—a breakthrough for deployable space structures. He also designed a shape memory alloy (SMA) spring-driven soft crawling robot with constant-curvature feet, addressing the precision challenges that have long plagued soft robotics. In the realm of perception, Li developed OmniColor, a global camera pose optimization method for LiDAR-360° camera fusion that colorizes point clouds, enhancing 3D reconstruction for robotic navigation. His ViQu-SLAM system further advances robust visual SLAM for small-scale quadruped robots in dynamic environments. With over 50 citations across his most-cited works—including 15 for his seminal microbeam study—Li’s research has already influenced fields from space engineering to autonomous exploration. His recent comprehensive review on bioinspired hydrogel actuators underscores his commitment to bridging fundamental materials science with practical robotic applications.

Research Focus

Key Achievements

5
H-Index
6
Papers
50
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
Smart material based multilayered microbeam structures for spatial self-deployment and reconfiguration: A residual stress approach
15 citations · 2022
📈 Most Prolific Year: 2023 (2 Papers)
🤝 Key Collaborators: 28
🏛 Institutions: Shandong University, Beijing Institute of Technology, Jiaxing University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago