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About
Yaqi Shi is a researcher at the intersection of artificial intelligence, human-robot interaction, and landscape design. Her work focuses on leveraging convolutional neural networks (CNNs) to analyze and enhance user entertainment experiences with AI-powered robots in natural environments, particularly park plant landscapes. In her most-cited paper, "User entertainment experience analysis of artificial intelligence entertainment robots based on convolutional neural networks in park plant landscape design" (2024), she pioneers a novel framework that integrates deep learning with aesthetic and functional landscape planning. This contribution demonstrates how AI can optimize both user engagement and ecological design, offering a data-driven approach to creating immersive, interactive public spaces. Though early in her career, Shi’s research has already garnered attention for its interdisciplinary bridge between computer vision and environmental psychology. Her work holds promise for advancing smart city initiatives and human-centric robotic applications, positioning her as an emerging voice in the growing field of AI-enhanced environmental design.
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