Papers
6
Total Citations
679
H-Index
5
About
Shoue Chen is an emerging researcher at the forefront of soft robotics, wearable sensing, and smart materials, whose work bridges fundamental mechanics with transformative real-world applications. Chen's research centers on three interconnected domains: soft robotic systems, tactile sensing technologies, and magneto-active materials. His most influential contribution, "Skin-inspired Textile-based Tactile Sensors" (2022, 277 citations), introduced a novel multifunctional sensing platform that mimics human skin to enable advanced perception in wearables and soft robots. Complementing this, his highly cited review on soft crawling robots (2019, 233 citations) has become a key reference for researchers exploring bio-inspired locomotion for search-and-rescue and infrastructure inspection applications. Chen has also pioneered self-powered triboelectric sensing skins integrated into soft grippers (2020, 83 citations), enabling dexterous, autonomous manipulation without external power sources. His work on variable-stiffness robotic systems (2021, 63 citations) addresses critical challenges in safe human-machine interaction. Beyond experimental innovation, Chen has developed rigorous finite element frameworks for modeling magneto-active elastomers, demonstrating both theoretical depth and computational versatility. With over 670 cumulative citations, his multidisciplinary contributions are shaping the next generation of intelligent, human-centered robotic systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2Soft Crawling Robots: Design, Actuation, and Locomotion233 citations · 2019
- 3Smart Soft Actuators and Grippers Enabled by Self‐Powered Tribo‐Skins83 citations · 2020
- 4
- 5
- 6