Application of the learning from errors principle in tufting machines

IET conference proceedings., vol. 2026, pp. 99–104

Abstract

The principle of learning from errors is pedagogically powerful but often impractical in industrial settings due to risks to safety and equipment. This paper presents an integrated training approach specifically designed for tufting machine operators. It uses hybrid digital twins, augmented reality (AR), and Petri Net-based modelling to apply the learning from errors principle effectively. Operator actions and errors are simulated via experimentable digital twins (EDTs), and the consequences of error s are visualized in AR, enabling safe, experiential learning. A Petri Net model formally represents the process, including typical faults and recovery paths, and is implemented in VEROSIM using SOML++. This hybrid framework provides a scalable foundation for AR-guided training systems that reduce risk and accelerate skill acquisition.

Authors 4

1. LONGXIANG SHAO Aachen Institute of Man-Machine Interaction

   RWTH Aachen University

   Affiliation as printed

   Institute of Man Machine Interaction, RWTH Aachen University, Aachen, Germany

2. Dominik Huesener Aachen Institute of Man-Machine Interaction

   RWTH Aachen University

   Affiliation as printed

   Institute of Man Machine Interaction, RWTH Aachen University, Aachen, Germany

3. Michael Schluse Aachen Institute of Man-Machine Interaction

   RWTH Aachen University

   Affiliation as printed

   Institute of Man Machine Interaction, RWTH Aachen University, Aachen, Germany

4. Juergen Rossmann Aachen Institute of Man-Machine Interaction

   RWTH Aachen University

   Affiliation as printed

   Institute of Man Machine Interaction, RWTH Aachen University, Aachen, Germany