Chenrui Yu

Papers

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About

Chenrui Yu is a leading researcher in agricultural robotics, specializing in intelligent automation for complex greenhouse environments. Their work focuses on two critical challenges: efficient path planning and high-precision visual positioning for mobile robots in semi-structured, texture-poor agricultural settings. Yu’s most cited paper, "Workspace decomposition based path planning for fruit-picking robot in complex greenhouse environment" (2023, 27 citations), introduces a novel decomposition strategy that enables robots to navigate dense foliage and irregular layouts, significantly improving harvesting efficiency. Complementing this, their study "Precise visual positioning of agricultural mobile robots with a fiducial marker reprojection approach" (2023, 8 citations) tackles the persistent problem of repetitive, weak textures in greenhouses, which degrade conventional vision systems. By proposing a fiducial marker reprojection method, Yu achieves robust, sub-centimeter localization accuracy, a breakthrough for tasks like fruit picking and autonomous navigation. These contributions have earned Yu recognition for bridging the gap between theoretical robotics and practical agriculture, with their work cited by peers developing next-generation farming technologies. Their research not only advances the field of agricultural robotics but also offers scalable solutions for sustainable food production.