Your browser doesn't support javascript. This means that the content or functionality of our website will be limited or unavailable. If you need more information about Vinnova, please contact us.

SARDINIA: Smart digital infrastructure for increased value of automation in manufacturing intralogistics

Reference number
Coordinator Chalmers Tekniska Högskola AB - Chalmers Tekniska Högskola Inst f Tekn ekonomi & organisation
Funding from Vinnova SEK 18 260 062
Project duration November 2025 - November 2028
Status Ongoing
Venture Advanced digitalization - Industrial needs-driven innovation
Call Advanced digitalization - Industrial demand-driven innovation 2025 (round two)

Purpose and goal

The project aims to develop and demonstrate a robust and standardized data infrastructure, interconnected with data-driven and partly AI-based applications, for use in digital value chains focusing on AGV/AMR systems and covering the activities 1) planning, 2) implementation, 3) operational operation and 4) adaptations to changing conditions.

Expected effects and result

The project enables the collection and use of extensive amounts of data from production and intralogistics. The data is connected with AI for analysis, modeling, real-time control, and decision-making. The project can enable a significantly increased productivity in all stages of the value chain. The results are expected to increase the rate of automation in the Swedish manufacturing industry and increase competitiveness and resilience through increased robustness and profitability.

Planned approach and implementation

Initially, a mapping of the current situation and requirements in the intralogistics is carried out, including planning, implementation, operation and adaptation steps in the automation of transportation. Based on these requirements, the project will define use cases that the data infrastructure and associated applications will address, and develop concepts for demonstrations. The data infrastructure developed in the project will be demonstrated and evaluated at two of the project companies.

The project description has been provided by the project members themselves and the text has not been looked at by our editors.

Last updated 2 December 2025

Reference number 2025-03059