Xiwen Luo
Papers
4
Total Citations
46
H-Index
3
About
Xiwen Luo is an emerging researcher specializing in agricultural robotics, computer vision, and human-robot interaction, with a particular focus on developing intelligent systems for precision agriculture. His most significant contribution lies in advancing fruit detection technology for autonomous agricultural robots, most notably through his pioneering work on lightweight pineapple detection networks built upon the YOLOv7-tiny architecture. These models address real-world challenges such as uneven lighting and fruit occlusion in complex field environments, achieving real-time, accurate detection suitable for deployment on resource-constrained robotic platforms. His most-cited paper on this topic has garnered 29 citations, reflecting strong interest from the agricultural AI community. Beyond detection, Luo has expanded his research into multi-task perception and three-dimensional picking point localization for grapes, leveraging structural constraints and geometric analysis to enable more precise harvesting operations. He has also made notable contributions to teleoperation frameworks, developing gesture-based human-robot interaction systems that translate human body movements into intuitive control signals for agricultural robots. Collectively, his work bridges deep learning and practical robotics, positioning him as a valuable contributor to the ongoing automation of modern farming systems.
Research Focus
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Top Papers
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