Enhancing Manufacturing Training Through VR Simulations
Vladislav Li, Ilias Siniosoglou, Panagiotis Sarigiannidis, Vasileios Argyriou

TL;DR
This paper introduces a VR-based industrial training system that enhances learning through high-fidelity simulations, adaptive feedback, and a new scoring metric, leading to improved retention and task accuracy.
Contribution
The paper presents a novel VR training architecture with dynamic scenarios, gesture controls, and a new performance metric, advancing industrial training methods.
Findings
Significant improvements in information retention.
Enhanced task execution precision.
Increased overall training efficacy.
Abstract
In contemporary training for industrial manufacturing, reconciling theoretical knowledge with practical experience continues to be a significant difficulty. As companies transition to more intricate and technology-oriented settings, conventional training methods frequently inadequately equip workers with essential practical skills while maintaining safety and efficiency. Virtual Reality has emerged as a transformational instrument to tackle this issue by providing immersive, interactive, and risk-free teaching experiences. Through the simulation of authentic industrial environments, virtual reality facilitates the acquisition of vital skills for trainees within a regulated and stimulating context, therefore mitigating the hazards linked to experiential learning in the workplace. This paper presents a sophisticated VR-based industrial training architecture aimed at improving learning…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
