Papers
4
Total Citations
66
H-Index
4
About
Fu-Kuo Chang is a pioneering researcher in smart structures and tactile sensing, whose work bridges structural health monitoring and robotics. His key research areas include stretchable sensor networks, electronic skins, and slip detection for robotic systems. Chang’s major contributions lie in developing multifunctional sensor networks that mimic biological nervous systems, enabling structures to “feel” and respond to their environment. His 2018 paper on distributed microfabricated strain gauges for stretchable sensor networks (27 citations) introduced a novel approach to embedding thousands of sensors into materials for real-time monitoring. In robotics, his 2020 work on static tactile sensing via electromechanical impedance (19 citations) advanced electronic skin technology for human-centered environments. Notably, his 2022 study on active sensing smart skin for incipient slip detection (14 citations) addressed a critical challenge in robotic manipulation by moving beyond passive sensors to active detection methods. Chang’s research has significant implications for aerospace, civil infrastructure, and human-robot interaction, with his stretchable sensor networks offering transformative potential for smart structures that can self-diagnose and adapt. His work continues to inspire innovations in intelligent systems and autonomous robotics.
Research Focus
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Top Papers
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