Xiaoyao Zheng

Anhui Institute of Information Technology, Anhui Normal University

Papers

Total Citations

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About

Xiaoyao Zheng is a researcher specializing in robotics, computer vision, and autonomous navigation, with a focus on developing intelligent systems that enable mobile robots to better perceive and navigate real-world environments. Their most notable contribution, the 2018 paper "Prior Knowledge-Based Deep Learning Method for Indoor Object Recognition and Application," has garnered 22 citations and represents a meaningful advance in the field by integrating prior knowledge frameworks with deep learning architectures to improve object detection precision — a critical challenge for robots operating in complex indoor settings. This work addressed a recognized gap in the literature, where existing methods struggled to reliably identify objects in the unstructured environments that mobile robots routinely encounter. Building on this foundation, Zheng has continued to refine autonomous robot capabilities through research into path planning algorithms, publishing improved methodologies in both 2022 and 2023, accumulating additional citations that reflect growing community interest. Taken together, Zheng's body of work demonstrates a sustained commitment to bridging artificial intelligence and practical robotics, offering solutions that move intelligent mobile systems closer to reliable, real-world deployment.