Max Robotics — Global Service Robot Directory + US Certification

About

Fook Seng Wong is a leading researcher in intelligent robotic welding and automated visual inspection, with a focus on adaptive manufacturing and quality control. His work addresses critical challenges in industrial automation, particularly for complex, shape-varying geometries and harsh environments like shipbuilding. A key contribution is the development of data-driven, fast input allocation methods for weld profile control, enabling robots to fill variable-geometry joints with high precision. Wong also pioneered novel edge and corner detection algorithms for unorganized 3D point clouds, using local symmetry and adaptive density thresholds—a breakthrough for robotic welding path planning. His research extends to precise pose detection for generic tubular joints from partial scans, and automatic visual inspection of ship hull surfaces using statistical approaches for defect detection. Wong’s work on adaptive weld quality monitoring, employing swing high-temperature sensor systems, further demonstrates his commitment to robust, multi-condition industrial solutions. With several papers garnering citations in the single digits—a strong start for emerging technologies—his contributions are already influencing next-generation robotic automation. His achievements highlight a career dedicated to bridging computer vision, sensor fusion, and adaptive control for real-world manufacturing challenges.