Mingxuan Zhai
Papers
2
Total Citations
14
H-Index
2
About
Mingxuan Zhai is a rising researcher at the forefront of intelligent manufacturing and wearable sensing technologies. His work centers on two key areas: enhancing tactile perception for industrial robots and developing advanced materials for flexible, durable wearable sensors. Zhai’s most cited paper, “Improving the Resolution of Flexible Large-Area Tactile Sensors through Machine-Learning Perception” (2024, 10 citations), addresses a critical bottleneck in industrial automation—the wiring complexity of array-type tactile sensors. By integrating machine learning, he demonstrates a novel approach to boost sensor resolution without increasing physical wiring, enabling robots to better understand their production environment. His second notable work, “Microwave-assisted scalable CNTs/TPU yarns for highly durable and sensitive wearable sensors” (2025, 4 citations), introduces a scalable method for creating carbon nanotube-infused yarns that combine high sensitivity with exceptional durability. This innovation holds promise for next-generation wearable health monitors and smart textiles. Though early in his career, Zhai’s contributions are already shaping the future of tactile sensing and flexible electronics, bridging the gap between machine perception and real-world manufacturing challenges.
Research Focus
Key Achievements
Top Papers
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