Carmen Esposito

Ms. Carmen Esposito


Research Focus & Metrics

Academic Career Length

3Years (2024-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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2 August 2024 in Machines
Verified
Journal Article
Open access
PDF file
Valentina Di PasqualeValentina Di Pasquale
Valentina Di Pasquale
PCPaolo Cutolo
Paolo Cutolo
CECarmen Esposito
Carmen Esposito
BFBenedetta Franco
Benedetta Franco
Raffaele IannoneRaffaele Iannone
Raffaele Iannone
Salvatore MirandaSalvatore Miranda
Salvatore Miranda
The evolving landscape of industrial manufacturing is increasingly embracing automation within smart factories. However, the critical role of human operators, particularly in manual assembly and disassembly tasks, remains undiminished. This paper explores the complexities arising from mass customization and remanufacturing, which significantly enhance the intricacy of these manual tasks. Human involvement is essential in these tasks due to their complexity, necessitating a structured learning process to enhance efficiency and mitigate the learning–forgetting cycle. This study focuses on the utilization of virtual reality (VR) as an innovative training tool to address these challenges. By conducting a systematic literature review (SLR) on the impact of VR on training operators for assembly and disassembly tasks, this paper evaluates the current level of VR application, the used technologies, the operator performance, and the VR benefits and limitations. The analysis reveals a limited but promising application of VR in training, highlighting its potential to improve learning outcomes, productivity, and safety while reducing costs. However, the research also identifies gaps in the practical application of VR for training purposes suggesting a future research agenda to explore its full potential.