Max Robotics — Global Service Robot Directory + US Certification

About

Ziwei Huo is a rising leader in the fusion of triboelectric nanogenerators (TENGs) with neuromorphic computing and flexible electronics. Her research focuses on developing self-powered, intelligent systems that mimic biological synapses for advanced sensing and computation. Huo’s major contributions include pioneering the use of triboelectric potential to gate high-performance organic transistor arrays, enabling mechanical behavior-controlled logic circuits and artificial sensory neurons—a breakthrough with 28 citations. She further advanced the field with her work on kirigami interactive triboelectric mechanologic, which integrates mechanical deformation with logic operations. Her 2024 paper on triboelectric in-sensor deep learning for self-powered gesture recognition (57 citations) demonstrates a practical application for multifunctional rescue tasks, showcasing the potential of TENGs in real-world scenarios. Additionally, her 2025 work on flexible, paper-based artificial synapses for neuromorphic computing and 3D information transmission (4 citations) highlights her commitment to sustainable, low-cost electronics. Huo’s research not only pushes the boundaries of energy harvesting and sensing but also lays the groundwork for next-generation IoT devices, making her a key figure in the evolution of intelligent, self-powered systems.