Haoyu Zhao

University of Manchester, Jilin Province Science and Technology Department

Papers

Total Citations

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About

Haoyu Zhao’s research lies at the intersection of tactile sensing, intelligent robotics, and computer vision, with a focus on enhancing how robots perceive and interact with their environments. A key contribution is their work on flexible tactile sensing using electrical resistance tomography (ERT) and wavelet image fusion. Recognizing that ERT-based artificial skin suffers from low image resolution, Zhao proposed a novel sensitivity matrix preprocessing method that significantly improves reconstruction quality—a critical step toward large-area, high-resolution tactile skins for robots. This work has garnered 3 citations and is foundational for advancing haptic feedback in human-robot interaction. In parallel, Zhao addressed safety and identity verification in intelligent robots by developing a ResNet-based face recognition model optimized for embedded devices. This system tackles the dual challenges of accuracy and resource efficiency, offering a practical solution for real-time, secure robot operation (2 citations). Together, these contributions demonstrate Zhao’s ability to bridge sensor hardware innovation with intelligent software algorithms, making robots more perceptive, safer, and more responsive to human presence.