"Digital Technologies, Advanced Robotics and increased Cyber-security for Agile Production in Future European Manufacturing Ecosystems"
Status: Concluded, 2022
Tech Stack: ROS, MoveIt!, C++, Python, PyTorch
The main objective of TRINITY was to create a network of multidisciplinary and synergistic local digital innovation hubs (DIHs) composed of research centers, companies, and universities covering topics that contribute to agile production — with advanced robotics as the driving force, supported by digital tools, data privacy, and cybersecurity technologies. The result is a one-stop shop for methods and tools enabling highly intelligent, agile, and reconfigurable production to ensure Europe's future welfare. The network began its operation by developing demonstrators in key areas of robotics to advance agile production, such as collaborative robotics with sensory systems for safety, intuitive user interfaces, reconfigurable robot workcells, programming by demonstration, IoT, and secure wireless networks. These demonstrators served as reference implementations for two rounds of open calls, supporting companies in improving their manufacturing processes. Beyond technology-oriented services, TRINITY DIHs offered training, consulting, and business support, including access to financing. A digital access point was developed to provide information and services to the wider public, and a business plan was prepared to ensure the network's sustainability beyond the project's funding period.
Funded by the Horizon 2020 Framework Programme of the European Union Under grant agreement No. 825196.
The main role of EDI and robotics group was to carry out experiments in co-operation with companies and collaborate on new calls, as well as to strongly support dissemination, communication, and networking activities. EDI also took part in business planning and TRINITY education and training knowledge transfer. Robotics group was responsible for the development of Use Case demonstration: Artificial Intelligence-based stereo vision system for object detection, recognition, classification, and pick-up by a robotic arm