Xiao Lai

Papers

Total Citations

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About

Xiao Lai is a researcher focused on advancing autonomous maritime rescue technologies, with a particular emphasis on intelligent lifebuoy systems. His key research areas include drowning detection algorithms, distance sensing, and autonomous navigation for unmanned surface rescue robots. Lai’s major contribution is the development of a drowning detection algorithm designed to enhance the autonomy of intelligent lifebuoys, enabling them to identify and approach drowning victims without continuous human remote control. This work, published in 2021, has garnered 3 citations and represents a foundational step toward fully autonomous rescue operations. By integrating computer vision and sensor fusion, Lai’s algorithm addresses a critical gap in existing rescue robots, which primarily rely on manual operation. His research holds significant promise for improving response times and safety in water rescue scenarios, potentially reducing human error and saving lives. Lai’s notable achievement lies in pioneering a system that combines real-time detection with autonomous navigation, setting the stage for next-generation life-saving robotics. His work is particularly relevant for students and researchers in robotics, computer vision, and emergency response technologies.