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About

Dezhi Chen is a leading researcher at the intersection of soft robotics, bioinspired materials, and biomedical engineering. His work focuses on developing intelligent, magnetically responsive soft matter that can sense, deform, and perform complex tasks. Chen’s major contributions include the integration of sensing and shape-deforming capabilities in bioinspired soft robots, as demonstrated in his highly cited 2021 paper (75 citations). He pioneered the use of ferromagnetic liquids to create untethered, stiffness-tunable robots capable of cleaning thrombus in complex blood vessels (2024, 44 citations), a breakthrough with significant clinical potential. Chen has also advanced tactile sensing for robotic arms by developing self-powered magnetoelectric sensors inspired by Merkel’s disks (2019, 40 citations), enabling smart learning and real-time mechanical response. His work on soft NdFeB/Ecoflex composites (2021, 39 citations) and stretchable electromagnetic fibers (2020, 36 citations) further underscores his impact in creating flexible, self-powered systems. With over 250 total citations, Chen’s research is shaping the future of soft robotics, offering innovative solutions for medical interventions and intelligent robotic systems.