Papers
8
Total Citations
330
H-Index
6
About
Daobing Chen is a pioneering researcher at the intersection of 4D printing, bioinspired sensing, and smart materials. His work focuses on developing integrated sensor-actuator systems that can self-sense strain, temperature, and position—enabling next-generation applications in biomedical devices, humanoid robotics, and human-machine interaction. Chen’s most impactful contribution is the creation of a 4D-printed, bioinspired gradient-gap sensor-actuator (142 citations), which combines self-sensing and actuation in a single device. He has also advanced programmable electroactive shape-color double-responsive materials (45 citations) and authored influential reviews on artificial hair-like sensors (71 citations) and arthropod-inspired crack-based sensors (34 citations). His recent work on additive manufacturing for self-sensing technologies (21 citations) and bioinspired anisotropic PEEK for solvent sensing (10 citations) further demonstrates his leadership in merging nature-inspired design with additive manufacturing. Chen’s research not only pushes the boundaries of 4D printing but also lays the groundwork for intelligent, autonomous systems that can monitor and adapt to their environments in real time.
Research Focus
Key Achievements
Top Papers
- 1
- 2Artificial Hair-Like Sensors Inspired from Nature: A Review71 citations · 2018
- 3
- 4Crack-based and Hair-like Sensors Inspired from Arthropods: A Review34 citations · 2020
- 5
- 6Bioinspired anisotropic PEEK for solvent sensing and programmable actuations10 citations · 2023
- 7Large Curvature Folding Strategies of Butterfly Proboscis5 citations · 2020
- 8