Max Robotics — Global Service Robot Directory + US Certification

About

Jinran Yu is a pioneering researcher at the intersection of neuromorphic computing, triboelectronics, and flexible sensory systems. Their work centers on developing artificial sensory synapses and bionic skins that mimic the human somatosensory system, enabling unprecedented tactile perception and signal processing. Yu’s most impactful contribution is the “Piezotronic Graphene Artificial Sensory Synapse” (2019, 216 citations), which demonstrated a high-performance, uncomplicated device for mechanical stimuli perception—a foundational step toward intelligent prosthetics and human-machine interfaces. They further advanced the field with the “Triboelectric potential tuned dual-gate IGZO transistor” (2021, 53 citations) and “Multibit tribotronic nonvolatile memory” (2021, 42 citations), showcasing versatile sensory devices and memory systems powered by triboelectric effects. Notable achievements include the “Multi-photon neuron embedded bionic skin” (2025, 27 citations), which enables high-precision reconstruction of complex textures and objects, and the “Kirigami interactive triboelectric mechanologic” (2022, 20 citations), merging mechanical logic with flexible electronics. Yu’s work, with over 390 citations across key papers, is driving the next generation of self-powered, neuromorphic systems for IoT, robotics, and neural interfaces.