About

Lu Li is a leading researcher at the frontier of soft robotics, programmable materials, and bio-inspired electronics. Their work masterfully integrates origami engineering, dielectric elastomer actuators, and biomimetic sensing to create next-generation intelligent systems. Li’s major contributions include pioneering an origami-inspired folding assembly for dielectric elastomers, enabling the rapid, low-cost fabrication of complex 3D soft robots (55 citations). They also developed a groundbreaking multi-parameter electronic skin that mimics human mechanoreceptors and stress field sensing, achieving 50 citations for its potential in robotic haptics. In shape-memory materials, Li demonstrated a tunable two-way shape-memory effect using self-nucleation and stress-induced crystallization (41 citations), enabling programmable, reversible shape-switching for artificial muscles and soft actuators. Their muscle-inspired bilateral dielectric elastomer actuators (39 citations) further advance highly controllable soft robots. Li’s notable achievements include an ultrahigh-sensitive paper-based pressure sensor for skin-integrated electronics and intelligent thermotherapy (19 citations), as well as a tunable magnet-based tactile sensor framework (8 citations). With over 200 total citations, Li’s work is shaping the future of soft robotics, wearable electronics, and human-machine interfaces, offering elegant solutions that blend nature’s designs with engineering innovation.

Research Focus

Key Achievements

6
H-Index
6
Papers
212
Total Citations
35
Avg Citations/Paper
🏆 Most Cited Paper
Origami-inspired folding assembly of dielectric elastomers for programmable soft robots
55 citations · 2022
📈 Most Prolific Year: 2022 (2 Papers)
🤝 Key Collaborators: 26
🏛 Institutions: Chongqing University, Shenzhen University, Sichuan University, Chongqing University of Arts and Sciences, University of Electronic Science and Technology of China, Carnegie Mellon University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago