Jiani Yang

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About

Jiani Yang’s research lies at the intersection of neural engineering and autonomous systems, with a focus on bio-inspired control and robotic assistance. Her most cited work, “Modelling EMG driven wrist movements using a bio-inspired neural network” (2021, 20 citations), introduces a novel framework that translates electromyographic signals into precise wrist motion through a neural network modeled on biological motor control. This contribution advances the development of intuitive prosthetics and human–machine interfaces, offering a pathway toward more natural limb replacements. In parallel, Yang addresses practical challenges in infrastructure maintenance with her study on “Research on UAV’s Automatic Hang Method For Auxiliary High-voltage Transmission Line Device” (2022, 3 citations), where she proposes an autonomous drone mechanism for live-line repairs—a critical innovation for improving safety and efficiency in high-voltage grid operations. By bridging computational neuroscience and applied robotics, Yang demonstrates a versatile research portfolio that spans from fundamental neural modeling to field-deployable automation. Her work not only contributes to academic understanding of motor control but also holds tangible promise for assistive technologies and industrial robotics.