Papers
2
Total Citations
23
H-Index
2
About
Cu-An Chang is a pioneering researcher in the field of micro-robotics, with a particular focus on the control and actuation of bipedal robots using smart materials. His key research areas include shape memory alloy (SMA) actuators, fuzzy logic control systems, and the development of bio-inspired walking patterns for small-scale robots. Chang’s most notable contributions stem from his work on designing a Fuzzy Walking Pattern (FWP) for SMA-driven biped robots, where he addressed the fundamental challenge of controlling the highly nonlinear properties of SMA actuators. His 1999 paper on this topic, which has accumulated 14 citations, and a subsequent 2002 iteration with 9 citations, laid important groundwork for enabling lightweight, compact robotic locomotion. By integrating fuzzy logic with SMA technology, Chang demonstrated a novel approach to achieving stable, adaptive walking in micro-robots—a critical step toward applications in search-and-rescue, medical devices, and exploration. His work is particularly valued for its practical engineering insights, offering a pathway to overcome the inherent control difficulties of smart materials. For students and researchers in robotics and mechatronics, Chang’s research remains a foundational reference for combining intelligent control with novel actuators.
Research Focus
Key Achievements
Top Papers
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