Xiangxiao Lei

Papers

Total Citations

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About

Xiangxiao Lei is a researcher at the forefront of agricultural robotics and assistive technologies, with key contributions in machine vision and autonomous systems. Lei's most impactful work focuses on developing intelligent perception systems for real-world applications. Their highly cited 2019 study on "Mature pomegranate recognition methods in natural environments using machine vision" (9 citations) pioneered color analysis techniques for fruit detection under variable lighting, directly enhancing the efficiency of agricultural picking robots. More recently, Lei has advanced healthcare robotics with their 2024 work on "High-precision docking of wheelchair/beds through LIDAR and visual information" (4 citations), integrating LiDAR and visual positioning to achieve precise autonomous docking—a critical innovation for smart hospital beds and mobility aids. This work demonstrates Lei's ability to bridge computer vision, sensor fusion, and practical engineering, solving real-world challenges from orchard harvesting to patient care. With a growing citation footprint, Lei's research is shaping the future of autonomous systems in both agriculture and healthcare, offering scalable solutions that improve productivity and quality of life.