Xinxin Zuo

Northwestern Polytechnical University, University of Kentucky

Papers

Total Citations

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About

Xinxin Zuo is a robotics researcher whose work focuses on bridging the gap between human motion and robotic control. Her primary research areas include human-robot interaction, motion retargeting, and semantic scene understanding for autonomous systems. Zuo’s most significant contribution is the development of a generative human-robot motion retargeting approach using a single depth sensor (2017, 20 citations), which enables robots to intuitively follow human movements without requiring complex, pre-specified joint mapping strategies. She further refined this work with an RGBD sensor-based approach (2019, 10 citations), advancing the practicality of real-time human-to-robot motion transfer. Additionally, her research on robotic semantic segmentation of supporting surfaces (2015, 6 citations) contributes to autonomous indoor navigation by enabling robots to parse RGB-D images and understand the geometry of their environment. Through these contributions, Zuo has helped make human-robot collaboration more accessible and intuitive, pushing forward the capabilities of robots to learn from and interact with humans in natural settings.