Shengmei Liao

Shandong University of Science and Technology

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About

Dr. Shengmei Liao is pioneering the next generation of intelligent tactile and strain sensors for robotics and human-machine interaction. Her research centers on enhancing the perceptual capabilities of flexible electronics, tackling fundamental challenges in resolution, directional sensitivity, and wiring complexity. In her highly cited 2024 work, "Improving the Resolution of Flexible Large-Area Tactile Sensors through Machine-Learning Perception," Dr. Liao demonstrates how artificial intelligence can overcome the physical limitations of array-type sensors, enabling industrial robots to achieve unprecedented tactile precision without complex wiring. This work has already garnered 10 citations for its transformative approach to smart manufacturing. Complementing this, her study on "Directional Characteristic Enhancement of an Omnidirectional Detection Sensor" (8 citations) introduces a novel strain partitioning strategy using periodic composite hole substrates. This innovation allows a single sensor to resolve complex, multi-directional forces with high fidelity, a critical step forward for advanced motion detection and intuitive human-machine interfaces. By merging materials engineering with machine learning, Dr. Liao is not just improving sensor hardware—she is redefining how machines can actively perceive and interact with their environment.