Lishuang Zhan

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About

Lishuang Zhan is a pioneering researcher in affective human-robot interaction, specializing in tactile sensing and biomimetic systems that enable robots to perceive and respond to human touch. Their most notable contribution is the "Touch-and-Heal" system (2023, 18 citations), a data-driven affective computing platform that uses a biomimetic sensor array to accurately recognize natural human tactile gestures—such as stroking, patting, or pressing—and generate emotionally appropriate feedback. This work addresses a critical gap in robotics: enabling machines to interpret the nuanced intentions behind touch, not just its physical parameters. Zhan further advanced the field with their 2023 study on equipping a robot dog with large-format distributed flexible pressure sensors (4 citations), demonstrating how low-cost, scalable tactile skins can transform a simple robotic platform into an interactive companion capable of natural, intuitive responses. By bridging engineering and psychology, Zhan’s research lays the groundwork for socially assistive robots in healthcare, therapy, and domestic settings. Their work has been recognized for its potential to make robots more empathetic and accessible, earning citations from researchers in robotics, materials science, and affective computing.