Ji‐Man Yu

Korea Advanced Institute of Science and Technology

Papers

Total Citations

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About

Ji-Man Yu is a pioneering researcher at the intersection of neuromorphic engineering and self-powered systems, whose work is redefining how machines sense and interact with the physical world. His primary research areas include triboelectric nanogenerators (TENGs), bio-inspired tactile systems, and neuromorphic computing for human-robot interaction. Yu’s most impactful contribution is the development of a self-powered artificial mechanoreceptor, detailed in his highly cited 2022 paper (70 citations), which integrates a TENG-based pressure sensor with a biristor neuron to mimic biological mechanoreception. This breakthrough enables simultaneous pressure detection and spike encoding without external power, a critical step toward energy-autonomous tactile systems for prosthetics and robotics. In his 2023 work on co-integrated neuromorphic devices, Yu advances compliance control for robotic exoskeletons, addressing safety and adaptability in human-robot interactions. By fusing sustainable energy harvesting with neural-inspired signal processing, Yu’s research offers a blueprint for next-generation haptic interfaces and wearable electronics. His work not only achieves high citation impact but also bridges fundamental materials science with practical applications in assistive technology, positioning him as a rising leader in bio-inspired electronics.