Dingze Lu

Papers

Total Citations

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About

Dingze Lu is a leading researcher in intelligent robotics and automated inspection, with a primary focus on wall-climbing robots for industrial welding applications. His work bridges machine vision and artificial intelligence to enhance safety and efficiency in large-scale equipment maintenance. Lu’s most cited paper, “A wall climbing robot based on machine vision for automatic welding seam inspection” (2024, 20 citations), introduces a novel robotic system that autonomously navigates vertical surfaces to detect weld defects, significantly reducing human risk. His earlier study, “Weld Seam Tracking and Detection Robot Based on Artificial Intelligence Technology” (2023, 16 citations), further advances this field by integrating AI-driven seam tracking with a wall-climbing platform, enabling real-time, precise detection in challenging environments. Together, these contributions have garnered over 36 citations, underscoring their impact on industrial automation and non-destructive testing. Lu’s work is notable for its practical application in sectors such as shipbuilding, oil tanks, and pressure vessels, where regular weld inspection is critical. By combining robust mechanical design with cutting-edge computer vision and AI, Dingze Lu is shaping the future of autonomous inspection robotics, offering scalable solutions that improve both operational safety and inspection accuracy.