Guanci Yang
Papers
16
Total Citations
511
H-Index
10
About
Guanci Yang is a prominent researcher whose work bridges social robotics, computer vision, and smart home technologies, with a particular focus on improving the safety, privacy, and autonomy of robotic systems for elderly and disabled care. His research has made significant strides in several interconnected domains, including simultaneous localization and mapping (SLAM), face de-identification, and dietary health monitoring. Among his most influential contributions is his 2020 work on FPGAN, a generative adversarial network-based face de-identification method for social robots, which has garnered 135 citations and addresses critical privacy concerns in home environments. His improved ORB-SLAM2 algorithm for rapid mobile robot relocation (125 citations) has similarly shaped the field of real-time robotic navigation. Yang's sustained attention to privacy in smart homes is evident across multiple papers, including early work detecting embarrassing situations using convolutional neural networks (44 citations). More recently, his research has expanded into multi-object tracking and human-object interaction detection, reflecting an evolving and forward-looking research agenda. Collectively, his publications demonstrate a cohesive vision: enabling socially aware, privacy-respecting robots capable of meaningfully supporting human wellbeing in everyday environments.
Research Focus
Key Achievements
Top Papers
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- 2Rapid Relocation Method for Mobile Robot Based on Improved ORB-SLAM2 Algorithm125 citations · 2019
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- 4Detection of privacy-sensitive situations for social robots in smart homes47 citations · 2016
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