Jintao Jin

Guangzhou Institute of Advanced Technology, University of Chinese Academy of Sciences

Papers

Total Citations

H-Index

About

Jintao Jin is a robotics researcher whose work bridges computer vision, human-robot interaction, and assistive technology. His research focuses on developing vision-based robotic systems for healthcare, agriculture, and elderly care, with a particular emphasis on practical applications that improve quality of life. Jin’s major contributions include pioneering a visual-based trajectory teaching method for robotic moxibustion therapy, a traditional Chinese medical treatment, enabling physiotherapists to delegate repetitive tasks to robots while maintaining therapeutic precision. He also designed a vision-guided fruit packaging robot to address labor shortages exacerbated by the COVID-19 pandemic, and created a chess-detection system for robotic companions aimed at supporting aging populations through cognitive engagement and emotional companionship. Though his most-cited works have accumulated modest citation counts (3, 3, and 2 citations respectively), they represent innovative, interdisciplinary approaches to real-world challenges. Notably, his moxibustion therapy robot exemplifies the fusion of traditional medicine with modern automation, while his elderly companion robot highlights the growing role of robotics in social care. Jin’s work stands out for its focus on culturally specific and socially impactful applications, offering a blueprint for how robots can serve niche but vital human needs.