Xiangyu Chen

Papers

Total Citations

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About

Xiangyu Chen is a researcher working at the intersection of human-robot interaction, computer vision, and machine learning, with a particular focus on making social robots more engaging and personable in real-world settings. Their notable work includes the 2020 paper "Improving Engagement by Letting Social Robots Learn and Call Your Name," which demonstrates an innovative approach to personalizing human-robot interactions by enabling robots to recognize and address individuals by name through the integration of computer vision, online learning with convolutional neural networks, and speech technologies. This research tackles a meaningful challenge in social robotics — bridging the gap between mechanical functionality and genuine human connection — by giving robots the ability to learn and adapt to the people they interact with in real time. While still an emerging body of work with 4 citations, Chen's research represents a thoughtful contribution to the growing field of socially intelligent robotics, addressing how autonomous systems can become more naturally responsive and engaging companions. Their interdisciplinary methodology reflects a promising trajectory for future advancements in personalized human-robot interaction systems.