Zhaohui Zheng

Wuhan University, Wuhan Institute of Technology

Papers

Total Citations

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About

Zhaohui Zheng is a leading researcher in industrial robotics and computer vision, with a primary focus on advancing monocular vision-guided robotic systems for precision manufacturing. His work addresses critical challenges in automated part localization and grasping, particularly for complex industrial applications such as automobile welding. Zheng’s most influential contribution, "Industrial part localization and grasping using a robotic arm guided by 2D monocular vision" (2018), has garnered 30 citations for its innovative approach to achieving high-precision positioning of welding workpieces—a key requirement for successful automotive assembly. He further advanced the field with "Robot Target Location Based on the Difference in Monocular Vision Projection" (2022), which tackles the limitations of traditional template matching for complex workpieces with height variations, offering a novel solution for angle and position estimation. With a total of 37 citations across his top papers, Zheng’s work is steadily gaining recognition for its practical impact on industrial automation. His research bridges the gap between theoretical computer vision and real-world manufacturing needs, making him a notable figure in the development of smarter, more adaptable robotic systems for industry.