Digital Technologies, Advanced Robotics and increased Cyber-security for Agile Production in Future European Manufacturing Ecosystems (TRINITY)

Period: January 2019 - December 2022

Total Budget: ~25.49M Eur

Project Coordinator: Minna Lanz, Tampere University of Technology

Partners: 16

Countries(10):  Finland, Norway, Slovenia, Greece, Hungary, Germany, Belgium, Latvia, Ireland, Lithuania

The main objective of TRINITY is to create a network of multidisciplinary and synergistic local digital innovation hubs (DIHs) composed of research centers, companies, and university groups that cover a wide range of topics that can contribute to agile production: advanced robotics as the driving force and digital tools, data privacy and cyber security technologies to support the introduction of advanced robotic systems in the production processes. The result will be a one-stop shop for methods and tools to achieve highly intelligent, agile and reconfigurable production, which will ensure Europe’s welfare in the future. The network will start its operation by developing demonstrators in the areas of robotics we identified as the most promising to advance agile production, e.g. collaborative robotics including sensory systems to ensure safety, effective user interfaces based on augmented reality and speech, reconfigurable robot workcells and peripheral equipment (fixtures, jigs, grippers, …), programming by demonstration, IoT, secure wireless networks, etc. These demonstrators will serve as reference implementation for two rounds of open calls for application experiments, where companies with agile production needs and sound business plans will be supported by TRINITY DIHs to advance their manufacturing processes. Besides technology-centered services, primarily laboratories with advanced robot technologies and know-how to develop innovative application experiments, TRINITY network of DIHS will also offer training and consulting services, including support for business planning and access to financing. Services of participating DIHs and dissemination of information to wider public will be provided through a digital access point that will be developed in the project. Another important activity of the project will be the preparation of a business plan to sustain the network after the end of the project funding.

The main role of the EDI is to carry out experiments in co-operation with companies and collaborate to build on new calls as well as to strongly support dissemination and communication/networking activities. Also, EDI will take part in Business planning and TRINITY education & training knowledge transfer.

Besides that, EDI will provide access to EDI IoT/WSN 100 node heterogeneous sensor network and wireless sensor network testbed (distributed around 7 floor building (inside & outside)) for validation and research in sensor network & wireless network protocols (additionally, 50 mobile nodes are available on site and can be moved to actual factory, to perform the tests in real production/manufacturing environment). EDI will provide best practices for rapid development of WSN/IoT systems. Created Impact: Decreased development and testing time/costs of WSN/IoT systems; Decreased time to market for large scale WSN/IoT networks in production environment; Smarter and more efficient production and manufacturing in factories.

Providing access to EDI IoT/WSN 100 node
heterogeneous sensor network and wireless
sensor network testbed (distributed around 7
floor building (inside & outside)) for
validation and research in sensor network &
wireless network protocols. Additionally, 50
mobile nodes are available on site and can be
moved to actual factory, to perform the tests in
real production/manufacturing environment.
Providing best practices for rapid
development of WSN/IoT systems.
• Decreased development and
testing time/costs of WSN/IoT
systems.
• Decreased time to market for
large scale WSN/IoT networks in
production environment.
• Smarter and more efficient
production and manufacturing in
factories

Also, EDI will provide access to ANN algorithms and methods for object detection, recognition, classification, control, etc., which can be used for thousands of vision-based systems applications to automate/optimize different industrial processes. EDI will provide best practices for custom ANN development and use. Created Impact: Lower development costs; Rapid development; Smarter, optimized and more efficient production and manufacturing in factories

Project TRINITY onepager