Papers
3
Total Citations
142
H-Index
3
About
Jiacheng Lin is a pioneering researcher at the intersection of social robotics, privacy preservation, and intelligent autonomous systems. His work primarily focuses on developing secure, adaptive robotic platforms that respect human privacy while maintaining sophisticated interaction capabilities. Lin’s most impactful contribution is the development of FPGAN, a face de-identification method using generative adversarial networks for social robots, which has garnered 135 citations and established a foundational approach to visual privacy protection in human-robot interaction. Building on this, he proposed a semi-supervised learning algorithm for visual privacy behavior recognition, advancing the field’s ability to detect and respond to privacy-sensitive scenarios in real-time. Most recently, Lin introduced HiCRISP, an LLM-based hierarchical closed-loop robotic intelligent self-correction planner. This innovative framework addresses a critical limitation in robotic systems—their inability to self-correct during task execution in dynamic environments—by integrating large language models for adaptive planning. Through his work, Lin has become a key figure in making social robots both privacy-conscious and operationally resilient, bridging the gap between ethical design and practical autonomy.
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