Xiujie Gao

Papers

Total Citations

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About

Xiujie Gao is a researcher specializing in smart materials and adaptive actuator systems, with a particular focus on shape memory alloys (SMAs). Their most-cited work, "Adaptive SMA actuator priming using resistance feedback" (2011, 13 citations), introduces a novel approach to controlling SMA actuators by leveraging resistance feedback to optimize priming—the process of preparing the material for reliable actuation. This contribution addresses a critical challenge in SMA applications: achieving consistent and precise movement under varying thermal conditions. By integrating adaptive control strategies, Gao’s research enhances the efficiency and longevity of SMA-based actuators, which are widely used in robotics, aerospace, and biomedical devices. Their work stands out for bridging material science and control engineering, offering practical solutions for real-world deployment. With 13 citations, this foundational paper has influenced subsequent studies on feedback-driven actuator calibration, underscoring Gao’s role in advancing smart material technologies. For students and researchers exploring adaptive systems, Gao’s work provides a compelling example of how resistance-based feedback can transform SMA actuators from experimental curiosities into reliable engineering tools.