A Multisensor Interface to Improve the Learning Experience in Arc Welding Training Tasks

Abstract

This paper presents the development of a multisensor user interface to facilitate the instruction of arc welding tasks. Traditional methods to acquire hand-eye coordination skills are typically conducted through one-to-one instruction where trainees must wear protective helmets and conduct several tests. This approach is inefficient as the harmful light emitted from the electric arc impedes the close monitoring of the process; Practitioners can only observe a small bright spot. To tackle these problems, recent training approaches have leveraged virtual reality to safely simulate the process and visualize the geometry of the workpieces. However, the synthetic nature of these types of simulation platforms reduces their effectiveness as they fail to comprise actual welding interactions with the environment, which hinders the trainees' learning process. To provide users with a real welding experience, we have developed a new multi-sensor extended reality platform for arc welding training. Our system is composed of: (1) An HDR camera, monitoring the real welding spot in real-time; (2) A depth sensor, capturing the 3D geometry of the scene; and (3) A head-mounted VR display, visualizing the process safely. Our innovative platform provides users with a "bot trainer", virtual cues of the seam geometry, automatic spot tracking, and performance scores. To validate the platform's feasibility, we conduct extensive experiments with several welding training tasks. We show that compared with the traditional training practice and recent virtual reality approaches, our automated multi-sensor method achieves better performances in terms of accuracy, learning curve, and effectiveness.

Sensor fusion-based virtual reality for enhanced physical training

“…Diving into professional skills like welding, Lee et al (2021) launched a sensor-rich extended reality platform tailored for arc welding, offering an immersive welding ambiance. Contrasting this with surgical training, Queisner et al (2022) capitalized on depth sensors and cameras to forge the VolumetricOR system, facilitating dynamic 3D visualizations in operating theaters.…”

Welding Instructors' Perspectives on Using AI Technology in Welding Training

“…These tools use extended reality in welding training to provide real‐time feedback without needing the constant supervision of a welding instructor. The study produced successful results, although it pointed out that so far it has only limited applications (Lee et al, 2023).…”