Context/Research purpose
- Tracing maintenance procedures with step validations.
- Research on a sustainable methodology for digital transformation of SMEs with AR-supervised maintenance applications.
Description of the work
- Development of a multi-agents application for supervision and certification of maintenance procedures in augmented reality (SCRAM).
- Experimental methodology to compare validation methods with Wizard of Oz method.
Future work
- Collecting experimental data.
- Combine real time analysis of maintained device’s state and manual operations’ compliance in sequence validation.
Keywords : Maintenance, Multi-agent system, Augmented Reality (AR), webXR
PhD Student : Gaspard Laouénan (Icam GPS and IBISC, Université Paris-Saclay)
Supervisors : Jean-Yves Didier (IBISC), Paul-Eric Dossou (Icam GPS)
Objectives of the thesis
- Develop a multi-agent tool for validation of AR-supervised maintenance applications.
- Compare validation methods over sustainable and performance criteria.
Service oriented application architecture
Methodology for comparing validation methods
Framework of sustainable Industry 4.0 implementation in SMEs
Supervision and Certification in Augmented Reality of Maintenance Procedures
Concepts for sequence validation in AR-supervised application