Shengnan Cui
Papers
1
Total Citations
103
H-Index
1
About
Shengnan Cui is a leading researcher in self-powered sensor systems and triboelectric nanogenerators (TENGs), with a focus on advancing smart robotics and autonomous vehicle technologies. Her most-cited work, “A Self‐Powered Dual‐Type Signal Vector Sensor for Smart Robotics and Automatic Vehicles” (2022, 103 citations), introduces a groundbreaking dual-type signal triboelectric nanogenerator (DS-TENG) that enables precise vector motion monitoring without external power sources. This innovation addresses a critical challenge in automatic control systems: reducing labor costs while enhancing operational efficiency. By designing a sensor that simultaneously captures both magnitude and direction of motion, Cui’s work provides a robust, energy-autonomous solution for real-time feedback in robotic and vehicular systems. Her contributions are pivotal in pushing the boundaries of self-powered sensing, offering a sustainable path toward more intelligent and efficient automation. With her research gaining significant traction, Cui is recognized as an emerging authority in the intersection of energy harvesting and smart sensing, inspiring future developments in autonomous systems and human-machine interfaces.
Research Focus
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Top Papers
- 1