Started at: 01-09-2022
Ends on: 28-02-2025

Budget: € 8.052.023

Areas: Mobile and Wireless Internet and Software Networks


Zero-SWARM is a mission to achieve climate neutral and digitised production via a multidisciplinary, human centric, objective oriented innovative approach resulting in technical solutions for open swarm framework, non-public 5G network, active information continuum and digital twin. At the core, it establishes a unique forum where separately maturing technologies of 5G and cloud-edge continuum, data technologies and analysis (including data spaces and GAIA-X) and operational technology (automation and agility) break their siloes toco-design and co-create through 10 trials. It will showcase key achievements such as smart assembly, sustainable powertrains, improved resilience with remote operation, 5G powered PLCs for real time distributed control systems, safe and autonomous transport of goods in factory, 5G enabled process aware AGVs, plug & connect 5G for industry, mobile intelligent agents for zero plastic waste, smart maintenance and optimization, remote quality control for zero defect resilient manufacturing.

The project includes 3 nodes (north, centre and south) with industrial test facilities from previous public/private investments co/creating with reputable industry players. Aligned with the technical activities, Zero-SWARM includes a tailored engagement program towards a wide audience, including collaboration with Digital Innovation Hubs and key initiatives in Europe. In addition, open innovation practices involves industry player as clients of developed technologies via Zero-SWARM community with 400 users and the expression of interest mechanism. It allows them to be the pioneer of the Zero-SWARM technologies, establishing an impact pathway even after the project end. Zero-SWARM puts strong emphasis on developing various learning materials to promote skill development of talented workforces with minimum efforts in prominent twin transformation, which will strongly contribute to build up European leadership in sustainable data driven manufacturing.

Estimated impact

Zero-SWARM impact pathway framework is designed with specific scope and significance per item to address.

Long-term impacts from the destination:

  • L1: Accelerate the twin green and digital transition of the manufacturing sector.
    L2: Create a new green, flexible and digital way to build and produce goods.
    L3: Set out a credible pathway to contributing to climate neutral, circular, and digitalized industries.
    L4: Make the jobs of the humans working in the manufacturing sector more attractive and safer and point the way to opportunities for upskilling.

Expected Outcome / medium-term impacts from the topic:

  • M1: Establishing European industry as leader in sustainable data-driven manufacturing and process industries through efficient data processing and notably at the edge of the network, improving the environmental, economic and social sustainability of industrial production, and reinforcing European leadership in the deployment and operations of industrial network.
    M2: Improving the agility of the European manufacturing industry and increasing its resiliency to external shocks, including with agile, secure and easy-to-implement non-public 5G systems, leading to more resilient production processes.
    M3: Demonstrate the use of open systems and qualified open-source software tools for data monitoring & collection as well as data analytics.
    M4: Foster industrial data and distributed computing standardization.
    M5: Facilitate the development of technologies requiring only minimal training of the industrial workforce.

Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union. Neither the European Union nor the granting authority can be held responsible for them.


Zero-SWARM is funded by the European Union Framework Programme for Research and Innovation Horizon Europe under grant agreement N° 101057083