de Pandi, Francesco (2025) Measurement, support, and testing methods for VR/AR environments for teaching and training. [Tesi di dottorato]
![[thumbnail of Francesco_de_Pandi_38_Cycle.pdf]](https://www.fedoa.unina.it/style/images/fileicons/other.png "Francesco_de_Pandi_38_Cycle.pdf") |
Documento PDF
Francesco_de_Pandi_38_Cycle.pdf Visibile a [TBR] Amministratori dell'archivio Download (2MB) |
| Tipologia del documento: | Tesi di dottorato |
|---|---|
| Lingua: | English |
| Titolo: | Measurement, support, and testing methods for VR/AR environments for teaching and training |
| Autori: | Autore Email de Pandi, Francesco francesco.depandi@unina.it |
| Data: | 11 Dicembre 2025 |
| Numero di pagine: | 137 |
| Istituzione: | Università degli Studi di Napoli Federico II |
| Dipartimento: | Ingegneria Industriale |
| Dottorato: | Ingegneria industriale |
| Ciclo di dottorato: | 38 |
| Coordinatore del Corso di dottorato: | nome email Grassi, Michele michele.grassi@unina.it |
| Tutor: | nome email Schiano Lo Moriello, Rosario [non definito] |
| Data: | 11 Dicembre 2025 |
| Numero di pagine: | 137 |
| Parole chiave: | Virtual Reality; Haptic devices; Immersive training; Remote Laboratories |
| Settori scientifico-disciplinari del MIUR: | Area 09 - Ingegneria industriale e dell'informazione > ING-IND/12 - Misure meccaniche e termiche |
| Informazioni aggiuntive: | Inserisco qui il mio ciclo di dottorato siccome non è presente nella lista della pagina di "Info Dottorato": sono un dottorando del XXXVIII ciclo in Ingegneria Industriale |
| Depositato il: | 19 Dic 2025 13:34 |
| Ultima modifica: | 12 Ago 2026 05:37 |
| URI: | https://www.fedoa.unina.it/id/eprint/16017 |
Abstract
In recent years, virtual and augmented reality (VR/AR) have evolved from entertainment technologies into powerful tools for technical training and industrial operations. Thanks to lighter and more capable devices, advanced software, and sophisticated tracking and haptic systems, immersive environments now offer a strong sense of presence, enabling experiential learning through direct interaction and risk-free simulation. These technologies allow users to practice complex procedures safely, improving performance, reducing costs, and enhancing the transferability of skills to real-world contexts. This thesis investigates three main research directions: remote laboratories, immersive technical documentation with haptic devices, and automated testing systems. Remote laboratories connect real measurement instruments to AR/VR environments, overcoming the limitations of physical resources and enabling the observation of engineering phenomena through sensors and reconfigurable devices such as Field Programmable Analog Arrays (FPAA). The integration of contextualized technical manuals and haptic gloves provides realistic operational training, strengthening procedural memory and psychomotor skills. Finally, automated testing based on interaction recording and replay ensures the reliability, scalability, and rapid validation of immersive applications. The results show that combining real-world instrumentation, immersive documentation, and automated validation tools creates an innovative training ecosystem that is more efficient, safer, and better aligned with modern industrial needs. The thesis highlights the transformative potential of VR and AR in technical education, maintenance, and process optimization, outlining a new paradigm for integrated immersive training solutions.
Downloads
Downloads per month over past year
Actions (login required)
 |
Modifica documento |
