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About

Yuanfen Chen is a pioneering researcher at the forefront of soft robotics and neuromorphic tactile sensing. Her work centers on developing intelligent, adaptive systems that bridge the gap between soft actuation and human-like perception. Chen’s most impactful contribution is her 2017 study on soft ionic electroactive polymer actuators, which introduced tunable non-linear angular deformation using conjugated polymers like PEDOT:PSS. This work, with 20 citations, provided a rational framework for fabricating soft robotics that move beyond conventional linear or circular motion, enabling more complex, lifelike behaviors. More recently, Chen has advanced neuromorphic tactile perception, as seen in her 2025 paper on triboelectric artificial synapses for material identification, which mimics human adaptive learning to achieve unprecedented precision in automated inspection. She further demonstrated a dielectric microstructure and tribotronic transistor-based pressure sensor, achieving high sensitivity and wide range for robotic adaptive gripping. With a growing citation impact and a focus on integrating soft actuators with intelligent sensing, Chen is shaping the future of autonomous robots capable of nuanced interaction with their environment.