The Augmented Welder (TAW) is a project sponsored by EIT Digital in which an industrial training tool has been designed dedicated to welding companies or welding training centers. It combines virtual and augmented reality, advanced digital technologies with welding parameters acquisition and gesture capture to increase speed up training and practice improvement. The departments of Communication Science at the University of Twente have worked on the development of dashboards based on sensor data to provide insight into the training performance of the welders. Educators and instructors can use these insights for targeted intervention in the development of certain knowledge and skills. We are also involved in designing a data-driven accelerated adaptive learning module for skill acquiring in the welding domain. We use advanced deep-learning techniques to predict the optimal learning route for welding trainees.
Sponsor: EIT Digital
Contact: Robert Muster and Sjoerd de Vries