Qianhao Xu

Ningbo University Affiliated Hospital, Ningbo University

Papers

Total Citations

H-Index

About

Qianhao Xu is a researcher focused on intelligent robotics and computer vision, with a particular emphasis on automating retail environments. His work addresses the growing demand for unmanned, efficient shopping systems by developing robots capable of autonomous product recognition and replenishment. Xu’s most cited paper, “Image Recognition of Supermarket Shopping Robot Based on CNN” (2020, 5 citations), introduces a convolutional neural network approach that enables robots to identify goods without human input, significantly improving efficiency over traditional manual-operation models. Building on this, his 2021 paper “Design and Implementation of Supermarket Shopping Robot” (2 citations) details the full system architecture, tackling the limitations of earlier robots that relied on human observation and judgment. Though his citation counts are modest, Xu’s contributions are notable for their practical application in retail automation, directly addressing real-world labor challenges. His work has been recognized through participation in the “Innovation Robot Design and Production Competition,” highlighting his commitment to bridging academic research with tangible engineering solutions. For students and researchers exploring robotics in commerce, Xu’s studies offer a clear, applied pathway from CNN-based perception to functional robot design.