Artificial Intelligence in Manufacturing leading to Sustainability and Industry 5.0 (AIMS5.0)

GA Nr. 101112089

Project goal and tasks

AIMS5.0 aims to create European digital sovereignty in sustainable manufacturing by deploying AI tools and techniques across the entire industrial value chain, further increasing overall manufacturing efficiency while driving sustainable development. The project will thus provide technological advances that are applicable and demonstrated in a variety of sectors ranging from simple manufacturing or batch/continuous processing to advanced and sophisticated manufacturing in processing industries. Through this approach, AIMS5.0 aims to create human-like perception and decision-making capabilities to improve the quality and reliability of industrial process automation, increasing efficiency while ensuring sustainability. AIMS5.0 will enable the transition to Industry5.0 in several industrial application domains.

Tasks to be performed by EDI

EDI contribution in short: The goal is to develop a modular and reconfigurable AI-based robotic system to automate the conveyer feeding processes of different (size, weight, and type), randomly distributed bottles with a high degree of effectiveness and efficiency with which the system and its components can be transferred to other operational or usage environments, thus enhancing circular reuse of the parts and replacing manual human work in the production process. Deep Learning-based perception system that provides the robots with the perceiving, comprehending, and reasoning abilities, that includes sensory data processing, representation, and interpretation. Complemented with an adaptive planning and acting system that allows to anticipate events and prepare for them in advance, therefore coping with unforeseen situations.

So far, EDI has developed several algorithms, which have been delivered as part of project deliverables in work packages WP2 (D2.1 and D2.2) and WP8 (D8.1 and D8.2). We have actively participated in all AIMS 5.0 General Assembly events, as well as in WP5 working group meetings.

Submitted articles:
• Differentiable Physics Training Method for Robot Motion Planning • Applied AI for Adaptive Robotics Conveyor-feeding

AIMS5.0 is supported by the Chips Joint Undertaking and its members, including the top-up funding by National Authorities under Grant Agreement No 101112295.

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 or the granting authority. Neither the European Union nor the granting authority can be held responsible for them.

Homepage of the project: http://aims50.eu/