Qi Ouyang
Papers
2
Total Citations
8
H-Index
2
About
Qi Ouyang’s research lies at the intersection of robotics, 3D reconstruction, and intelligent control, with a focus on solving real-world spatial constraints in construction and industrial automation. His most cited work, “Application of 3D reconstruction technology based on an improved MC algorithm in a shotcreting robot” (2022, 4 citations), introduces a novel marching cube (MC) reconstruction method that enhances point cloud splicing and normal re-orientation, enabling shotcreting robots to accurately map tunnel arch surfaces during spraying. This contribution directly addresses the challenge of real-time 3D environmental perception in hazardous, confined spaces. In parallel, his 2023 study “Investigation of IBVS control method utilizing vanishing vector subject to spatial constraint” (4 citations) advances image-based visual servoing (IBVS) by leveraging vanishing vectors to maintain precision under spatial limitations. Though early in citation impact, Ouyang’s work demonstrates a clear trajectory toward integrating computer vision and robotic manipulation for infrastructure applications. His achievements include developing algorithms that improve both reconstruction accuracy and control robustness, offering practical solutions for autonomous construction equipment. For students and researchers, Ouyang’s research exemplifies how algorithmic innovation can bridge the gap between theoretical robotics and demanding field operations.
Research Focus
Key Achievements
Top Papers
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- 2