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About

Yu Luan is a pioneering researcher at the intersection of wearable technology, human-machine interaction, and autonomous robotic systems. Her work primarily focuses on developing intelligent interfaces and control systems that bridge the gap between biological signals and machine operations. Luan's major contributions include the creation of the HAR-sEMG dataset, a comprehensive resource for human activity recognition using lower-limb surface electromyography signals, which has garnered 18 citations and serves as a foundational tool for advancing prosthetics and rehabilitation technologies. She also developed a robust, wearable triboelectric tactile patch that functions as a self-powered human-machine interface, achieving 12 citations for its potential in seamless, energy-efficient interaction systems. In the domain of robotics, Luan proposed a hierarchical model for autonomous underwater vehicle (AUV) swarms with a leader, inspired by natural collective behaviors, which has already attracted 7 citations. Her fusion-based extended social force model for bidirectional pedestrian movement further demonstrates her versatility in applying complex systems theory to real-world challenges. With a growing citation impact across diverse fields, Luan's work is driving innovation in assistive technologies, smart wearables, and swarm robotics, making her a rising figure in interdisciplinary engineering research.