Max Robotics — Global Service Robot Directory + US Certification

About

Tuomas Skriko is a leading researcher at the intersection of robotic welding, artificial intelligence, and digital manufacturing. His work focuses on solving critical challenges in automated welding, particularly the inaccuracies caused by welding distortion and the need for real-time quality control. Skriko’s most impactful contribution is a knowledge-based multipass welding distortion estimation method, developed for multi-robot welding off-line programming software (13 citations). This work directly addresses a major gap in commercial software, enabling more precise robot positioning and reducing costly rework. He has also pioneered the use of AI-enabled feedback control systems in robotized gas metal arc welding (8 citations), introducing an intelligent welding system that enhances quality consistency. His broader vision is captured in an overview of digitized production for welded steel structures (5 citations), which outlines a comprehensive framework for integrating design, fabrication, and service life data. Additionally, Skriko has advanced weld quality verification using laser triangulation measurement (3 citations), a technique essential for adaptive parameter control and robotic positioning. Through these contributions, Skriko is helping to transform welding from a manual, error-prone process into a precise, data-driven, and fully automated operation.