Bai Ruilin

Papers

Total Citations

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About

Bai Ruilin is a researcher specializing in intelligent welding and robotic vision, with a primary focus on laser-based sensing and structured light stereovision for automated welding applications. His major contributions lie in developing real-time algorithms for weld seam detection, feature extraction, and 3D reconstruction, particularly for butt welds and curve welding seams. His most cited work, "Weld seam detection and feature extraction based on laser vision" (2014, 10 citations), introduces a robust algorithm that preprocesses images from a laser vision sensor mounted on a welding robot to detect and extract seam features in real time. This work is foundational for automating welding processes in manufacturing. Additionally, his 2015 paper on detecting and reconstructing curve welding seams using structured light stereovision (2 citations) advances the field by enabling precise 3D reconstruction of complex weld paths, crucial for robotic welding of non-linear joints. Bai’s research bridges computer vision and industrial robotics, offering practical solutions for improving weld quality and automation efficiency. His work is particularly valuable for students and researchers exploring sensor-guided robotic systems in manufacturing.