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About

Tianyu Chen is a robotics and materials researcher whose work spans bioinspired sensing, soft robotics, and architectured materials. He is best known for pioneering triboelectric nanogenerator-based whisker sensors that enable robots to passively perceive their environments — his 2021 and 2022 papers on artificial and underwater bionic whiskers have accumulated over 40 and 86 citations respectively, establishing him as a leading voice in tactile sensing for autonomous systems. His research on reactive obstacle avoidance and local mapping demonstrated practical applications of these sensors in unstructured environments. Chen has also made significant contributions to programmable robotic structures, developing scale-inspired designs capable of simultaneous shape morphing and stiffness variation — a breakthrough inspired by octopus biomechanics that garnered 58 citations within just two years of publication. His work on self-sensing architectured particle assemblies further advances the integration of actuation, stiffness tuning, and sensing into unified robotic structures. More recently, he has extended his expertise toward human-machine interfaces through flexible multichannel muscle impedance sensors. Across these diverse threads, Chen's research consistently pursues the same ambitious goal: closing the gap between the multifunctional sophistication of biological organisms and the capabilities of engineered robotic systems.