European Projects


DIH² Network

DIH² is a network of 26 DIHs, with a target to reach over 170 DIHs. The sole aim of the network is to spark incremental (cut 50% cost of advance robotics solutions, double the growth of robotics market) and disruptive (maximum productivity & optimum agility) innovations in over 300,000 Manufacturing SMEs and Mid-Caps. It will support SMEs in their Agile Production challenge (50% increase in productivity) and unleash their digitalization potential by enabling robot solutions that are more cost effective at lower lot sizes.



In the EU research project "Flexible Assembly Manufacturing with Human-Robot Collaboration and Digital Twin Models" (FELICE), the Department of Robotics and Cognitive Systems, in cooperation with numerous European partners, is researching, among other things, collaboration between humans and robots in the context of production. One focus of the work is on the physical and cognitive ergonomics of employees in production.



ENSURESEC addresses the whole gamut of modern e‑commerce, from standard physical products purchased online and delivered via post, to entirely virtual products or services delivered online. It addresses threats ranging from maliciously modifying web e‑commerce applications or rendering them unavailable to legitimate customers, to delivery issues or fraud committed by insiders or customers. It achieves this by focusing on the common software and physical sensor interfaces that sit along the e‑commerce, payment and delivery ecosystem.



AI-CUBE (Artificial Intelligence and Big Data CSA for Process Industry Users, Business Development and Exploitation) is a project funded in 2020 under the European Union’s Horizon 2020 Research and Innovation Programme. AI-CUBE aims to enhance the understanding of digital technologies related to artificial intelligence (AI) and big data (BD) applied in process industries for all the eight SPIRE industrial sectors: cement, ceramics, chemicals, engineering, minerals and ores, non-ferrous metals, steel, water.



The enormous increase in delivery traffic is leading to growing problems in the transport sector and also to rising costs for delivery services. "Urban Logistics as an on-Demand Service" - ULaaDS for short - analyses and develops new concepts for the transport of goods in cities. ULaaDS will develop a methodology for effective multi-stakeholder collaboration, involving the whole urban logistics ecosystem. These local fora will work together to build future on-demand urban logistics scenarios.



The AEROFLEX project will develop and demonstrate new technologies, concepts and architectures for complete vehicles with optimised aerodynamics, powertrains and safety systems as well as flexible and adaptable loading units with advanced interconnectedness contributing to the vision of a “physical internet”. The optimal matching of novel vehicle concepts and infrastructures is highly important, requiring the definition of smart infrastructure access policies for the next generation of trucks, load carriers and road infrastructure.



Repurposing manufacturing for vital medical supplies and equipment to support Europe in improving its response and preparedness to deal with pandemics. CO-VERSATILE builds upon current and past industry-driven research and innovation initiatives to deliver a flexible 48-hour industrial response and address sudden spikes in demand of strategic medical products. The CO-VERSATILE project consortium comprises of 21 partners from 9 countries across Europe.


The FLITE consortium will build the first of its kind LanzaJetTM Alcohol-to-Jet (AtJ) plant. The plant will convert waste-based ethanol into SAF, with a capacity of over 30,000 tons/year. The project is receiving €20 million in funding from the EU's HORIZON2020 program and is an important milestone on the road to a zero-emission aviation industry. The FLITE (Fuel via Low Carbon Integrated Technology from Ethanol) project kicked off on December 8, 2020.


RESILOC aims to investigate and implement a holistic framework of studies, methods, and software tools that link the physical to the less tangible aspects of human behavior. The results of previous studies will lead to the definition of a set of new methods and strategies. These studies and methods will be used to design and implement two software instruments. The project concludes with testing of the developed solutions through four field trials.


ARESIBO aims to improve the efficiency of border surveillance systems by providing accurate and comprehensive information to operational teams and tactical command and control. It integrates research activities in surveillance platforms, sensor processing and augmented reality techniques. The ARESIBO system will be developed in stages over the next three years with two main versions. The system will be tested and evaluated in a controlled environment in a first step and then tested under real conditions in Finland, Greece, Romania and Portugal.