Mai Abe
Papers
6
Total Citations
92
H-Index
4
About
Mai Abe is a researcher at the forefront of soft robotics and tactile sensing, specializing in the development of advanced soft pressure sensors for wearable robotics and human-machine interfaces. Her work focuses on creating flexible, high-performance sensing systems that enable robots to interact with objects more naturally and effectively. Abe’s major contributions include the design of microporous, fully printed pressure sensors that achieve high-speed responses essential for real-time soft robotics control, as demonstrated in her highly cited 2020 paper (31 citations). She has also pioneered the optimization of ferroelectric-polymer sensing layers by tuning molecular weight to enhance sensitivity and dynamic pressure detection (27 citations). Notably, her research on artificial cutaneous sensing for object slippage detection, featuring closed-loop feedback systems, has garnered significant attention (21 citations), advancing the ability of soft robots to handle objects with precision. With over 90 total citations across her key works, Abe’s innovations are pivotal for next-generation wearable soft robotics machine interfaces, offering scalable, printable solutions that bridge the gap between flexible electronics and intelligent robotic systems.
Research Focus
Key Achievements
Top Papers
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