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About

Liuyi Ling is a rising researcher at the intersection of robotics, biosignal processing, and intelligent agricultural automation. Her work focuses on two core areas: advancing lower limb motion recognition for rehabilitation and exoskeleton control, and developing autonomous systems for precision agriculture. Ling’s most impactful contributions include a lightweight multi-scale convolutional attention network for lower limb motion recognition that leverages transfer learning (8 citations), and an efficient framework combining XGBoost feature selection with multi-attention LSTM for sEMG-based knee angle prediction (5 citations), both of which enable more natural human-robot interaction. She has also designed a teat cup attachment robot for automatic milking systems (6 citations), addressing a critical bottleneck in China’s dairy industry by reducing manual labor and improving milking efficiency. In agricultural robotics, Ling developed a real-time detection and instance segmentation method for strawberries in unstructured environments (4 citations), supporting the development of harvesting robots. Her work on identifying lower limb behavior intentions from surface electromyography signals (4 citations) further demonstrates her commitment to efficient, practical solutions for assistive technologies. With a growing citation record and applications spanning rehabilitation, exoskeletons, and smart farming, Ling is establishing herself as a versatile engineer whose innovations directly address real-world challenges in both healthcare and agriculture.