Bingbing Sun

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About

Dr. Bingbing Sun has made impactful contributions at the intersection of robotics, public health, and intelligent automation, with a particular focus on developing practical solutions for real-world disinfection challenges. Their most cited work, "Design of UVC Surface Disinfection Robot with Coverage Path Planning Using Map-Based Approach At-The-Edge" (2022, 8 citations), addresses the urgent need for automated virus mitigation in high-risk environments such as cold-chain warehouses and hospitals during the COVID-19 pandemic. This research introduces a novel UVC-based disinfection robot that leverages low-computational path optimization directly at the edge, enabling efficient and thorough surface coverage without reliance on cloud processing. By integrating map-based navigation with real-time path planning, Sun’s work significantly enhances the autonomy and reliability of disinfection robots, reducing human exposure to pathogens. This achievement not only demonstrates technical innovation in robotics and embedded systems but also underscores a commitment to translating research into tangible public health tools. Dr. Sun’s contributions are particularly valuable for students and researchers interested in mobile robotics, autonomous navigation, and the application of engineering to pressing societal needs.