The VIMACO project aims to develop methods and tools for personalized augmented reality for industrial maintenance assistance. It is a collaborative research project (PRCE) involving the LiSPEN (engineering sciences in virtual immersion and artificial intelligence) and CAPS (cognitive sciences) laboratories and the companies DIOTA (SME in augmented reality technologies for industry) and SAFRAN (a major group in the aeronautics industry). Industrial maintenance is a field where human skills are precious and operations are complex. The scientific literature in the field of maintenance assistance by augmented reality reports works on the added value of augmented reality, the capture and analysis of human gesture as well as the analysis of maintenance procedure based on the system. Few works focus on the operator, his level of expertise and the information adapted to his task.
The VIMACO project aims to provide personalized assistance to the maintenance operator. The scientific issues identified are related to the analysis of the behavior in order to extract a skeleton of the maintenance procedure, the knowledge of the level of expertise and the motor singularities of the operator and the interactive guidance techniques in augmented reality. Three research questions will be addressed: how to extract a maintenance procedure by analyzing the movements of an expert operator? How to extract the level of expertise and the motor singularities of the operator in order to better guide her/him? What are the sensory feedbacks to bring to the operator according to the missing information just necessary?
The proposed approach is to develop a virtual maintenance companion able to analyze the operator's behavior to acquire knowledge on the maintenance operation and on his level of expertise to provide her/him with the necessary guidance in augmented reality. The principles of the proposed approach are: i) the analysis of movements allows to build the maintenance procedure, ii) the analysis of data from the observation of the operator allows the analysis of the level of expertise and the motor singularities of the operator, iii) the adaptive multimodal assistance in augmented reality allows to assist the operator in her/his task according to her/his own needs.
The project is organized in 5 scientific and technical workpackages (WP). The first 3 WP correspond to the 3 principles stated above. WP 4 is dedicated to a proof of concept on an industrial use case and WP5 is dedicated to the technological integration of the bricks developed in WP1 and WP2 within an existing industrial software tool. The project will last 48 months. The necessary means are made up of human resources, equipment and operating costs.
The expected results of the project are: i) scientifically, a contribution on the research of gesture sequences in a movement, a contribution of artificial intelligence techniques for the analysis of human behavior in maintenance operations, a contribution of multisensoriality in augmented reality to guide a technical gesture, ii) industrially, to better capitalize on the know-how of the maintenance operations, to promote a human-centered approach in industry, to improve the quality of products, to acquire advanced knowledge in the service of augmented reality.
The VIMACO project has the originality to combine the disciplines of virtual reality, artificial intelligence, movement neuroscience, advanced technologies of augmented reality and industry to meet the challenges of assisted maintenance for the industry of the future.
Monsieur Frederic MERIENNE (Ecole Nationale Supérieur d'Art et Métiers - Laboratoire d Ingénierie des Systèmes Physiques et Numériques)
The author of this summary is the project coordinator, who is responsible for the content of this summary. The ANR declines any responsibility as for its contents.
ENSAM - LISPEN Ecole Nationale Supérieur d'Art et Métiers - Laboratoire d Ingénierie des Systèmes Physiques et Numériques
CAPS COGNITION, ACTION ET PLASTRICITE SENSORI-MOTRICE - U 1093
Safran Landing Systems SAFRAN LANDING SYSTEMS / Direction Industrielle / Smart Factory
Help of the ANR 625,578 euros
Beginning and duration of the scientific project: December 2021 - 48 Months