Papers
3
Total Citations
64
H-Index
3
About
Yuxuan Luo is a pioneering researcher at the intersection of human-machine interaction, robotics, and advanced sensing systems. Her work focuses on developing intelligent interfaces that bridge the gap between human dexterity and artificial systems, with key contributions in wearable technology, tactile sensing, and robotic manipulation. Luo's most cited work, "Hybrid-Flexible Bimodal Sensing Wearable Glove System for Complex Hand Gesture Recognition" (2021, 57 citations), introduced a groundbreaking approach to human-machine communication, enabling sophisticated gesture recognition that surpasses traditional touchscreens and keyboards—a critical advancement for 5G-era interfaces. She further pushes the boundaries of AI and robotics with "CalliRewrite: Recovering Handwriting Behaviors from Calligraphy Images without Supervision" (2024), which tackles the complex challenge of decomposing strokes and dexterous utensil control, advancing human-like planning in robotics. Her innovative "Fully Dynamic Event-Driven Capacitive Sensor Interface Circuits" (2024) addresses the long-standing aspiration of covering robots with electronic skins, overcoming limitations in routing complexity and power consumption through bio-inspired neural signal processing. Luo's research is shaping the future of intuitive, high-bandwidth human-machine collaboration.
Research Focus
Key Achievements
Top Papers
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