Papers
16
Total Citations
2,012
H-Index
10
About
Yu Jun Tan is a leading researcher at the intersection of soft robotics, electronic skins, and self-healing materials. Her work focuses on developing intelligent, resilient systems that can mimic biological functions, particularly for use in challenging environments. Tan’s major contributions include pioneering the first self-healing electronic skins for aquatic environments, a breakthrough that has garnered 639 citations and opened new possibilities for underwater robotics and prosthetics. She also developed a neuro-inspired artificial peripheral nervous system for scalable electronic skins (298 citations), enabling rapid somatosensory perception in human-like machines. Her innovations extend to near–hysteresis-free soft tactile sensors for reliable machine learning (183 citations) and transparent, self-healing dielectrics for stretchable optoelectronics (289 citations). Tan has also advanced the roadmap for intelligent self-healing materials in autonomous robotics (181 citations) and created ultrastretchable double-network hydrogels for flexible strain sensors (162 citations). Her notable achievements include developing self-healing actuatable electroluminescent fibres and ionic fuel-powered hydrogel actuators for soft robotics, pushing the boundaries of autonomous systems in aquatic and extreme environments.
Research Focus
Key Achievements
Top Papers
- 1Self-healing electronic skins for aquatic environments639 citations · 2019
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- 73D printing facilitated scaffold-free tissue unit fabrication149 citations · 2014
- 8Self-healing actuatable electroluminescent fibres30 citations · 2024
- 9Ionic fuel-powered hydrogel actuators for soft robotics26 citations · 2024
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