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Smart Battery Manufacturing Research and Development Assistant based on Augmented Reality Technology and powered with the ARTISTIC project Computational Models

Project description

Augmented reality meets battery manufacturing

Battery technology has come a long way. Today’s scientists and engineers are responsible for developing modern batteries for the future. With this in mind, the ERC-funded SMARTISTIC project will develop and demonstrate a prototype of a smart and interactive augmented reality (AR) software, usable from tablets and AR glasses by touch and hand gestures, respectively. SMARTISTIC will blend holograms, powered with unique physical and machine learning (ML) models, developed and validated experimentally by previous ERC research. The interaction with holograms will allow a user without programming skills to create real-time databases from ongoing experiments, launch computations for experimental results analysis, or request ML predictions about the intended formulation and manufacturing process impact on the electrode properties.


The SMARTISTIC project aims at developing and demonstrating a first prototype of a smart and interactive Augmented Reality (AR) software designed to assist in the decision-making of battery scientists, engineers and operators while they are working in electrode formulation and manufacturing in laboratories or in production lines. The software will be usable from tablets and AR glasses by touch gesture and hand gesture respectively. The software will blend holograms with the real world manufacturing equipment. Such holograms will be powered with the unique physical and machine learning (ML) models developed and validated experimentally in my ERC CoG ARTISTIC project and which can predict the impact of manufacturing parameters on the final electrode properties. By interacting with the holograms and without the need of programming skills, a user can in real-time create databases from her/his ongoing experiments, launch computations for analysis of experimental results, or request ML predictions about the impact of her/his intended formulation and manufacturing process on the electrode properties. She/he can also use the software to analyze possible deviations between the experimental results and the predictions to identify more easily factors that could explain unexpected experimental results. The prototype will be developed by accounting for the users' needs and from the observation of work situations. Once developed, we will perform tests and demonstrations to assess the software usability and ergonomics for its improvement while used in real situations. They will be carried out in the battery manufacturing platform of our laboratory and in companies and in institutes which already manifested interest in our proof of concept. The assessments will permit improving the software to ensure its wide acceptance. We will also analyze the IP, technology transfer and market opportunities to valorize the intended software, also thanks to networking activities.


Host institution

Net EU contribution
€ 150 000,00
80025 Amiens

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Hauts-de-France Picardie Somme
Activity type
Higher or Secondary Education Establishments
Total cost
No data

Beneficiaries (1)