Zhihan Shi

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About

Zhihan Shi is a researcher advancing intelligent robotics for the built environment, with a focus on computer vision and construction automation. Their key research areas include object segmentation, robotic perception, and the integration of machine learning into construction robotics. Shi’s most notable contribution is the development of a vision system for spraying robots that uses a multi-layer perceptron (MLP) to identify and locate construction objects. This work, published in 2022 and cited five times, addresses the unique challenges of construction environments—such as variable lighting, cluttered scenes, and irregular object shapes—by jointly analyzing the characteristics of the environment, object, and robot structure. By enabling robots to accurately segment objects in real time, Shi’s approach enhances the autonomy and precision of construction robots, reducing reliance on manual control. This research has practical implications for improving efficiency and safety on construction sites. Shi’s work represents a meaningful step toward fully automated construction systems, bridging the gap between robotics and real-world building tasks.