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About

Zhengkang Lin is a leading researcher in the field of flexible tactile sensing and electronic skin, with a focus on advancing human-robot interaction. His work centers on developing novel, large-area, and stretchable tactile sensors that can simultaneously detect contact position and force, addressing critical challenges in robotics and intelligent equipment. Lin’s major contributions include the design of a piezoresistive tactile sensor employing neural networks for enhanced accuracy, and a textile-based tactile sensor that overcomes wiring limitations for scalable applications. He also developed a highly sensitive capacitive pressure sensor using an elastic metallized sponge, achieving precise low-pressure measurements. To ensure practical deployment, Lin proposed inconsistency calibrating algorithms for large-scale piezoresistive electronic skin, improving reliability in human-robot interaction. His most-cited papers, including those on piezoresistive and textile-based sensors, have garnered over 120 citations collectively, reflecting significant impact. Notably, his work on non-uniform gradient potential distribution offers a novel approach to flexible touch sensing without complex arrays. Lin’s innovations are pivotal for next-generation robotic skin, enabling safer and more intuitive interactions between machines and their environments.