@inproceedings{259f062a23774e3d8623f3b9cac77893,
title = "The IMOCO4.E reference framework for intelligent motion control systems",
abstract = "Intelligent motion control is integral to modern cyber-physical systems. However, smart integration of intelligent motion control with commercial and industrial systems requires domain expertise, industrial 'know-how' of the production processes, and resilient adaptation for the various engineering phases. The challenge is amplified with the adoption of advanced digital twin approaches, big data and artificial intelligence in the various industrial domains. This paper proposes the IMOCO4.E reference framework for the smart integration of intelligent motion control with commercial platforms (e.g. from SMEs) and industrial systems. The IMOCO4.E reference framework brings together the architecture, data management, artificial intelligence and digital twin viewpoints from the industrial users of the large-scale 'Intelligent Motion Control under Industry4.E' (IMOCO4.E) consortium. The framework envisions a generic platform for designing, developing, and implementing novice and complex motion-controlled industrial systems. Refinements and instantiations of the framework for the IMOCO4.E industrial cases validate the framework's applicability for various industrial domains throughout the engineering phases and under different constraints imposed on the industrial cases.",
keywords = "AI, cyber-physical systems, data management, digital twin, edge computing, mechatronics, motion control, reference framework, smart system integration",
author = "Sajid Mohamed and \{Van Der Veen\}, Gijs and Hans Kuppens and Matias Vierimaa and Tassos Kanellos and Henry Stoutjesdijk and Riccardo Masiero and Kalle M{\"a}{\"a}tt{\"a} and \{Van Der Weit\}, \{Jan Wytze\} and Gabriel Ribeiro and Ansgar Bergmann and Davide Colombo and Javier Arenas and Alfie Keary and Martin Goubej and Benjamin Rouxel and Pekka Kilpel{\"a}inen and Roberts Kadikis and Mikel Armendia and Petr Blaha and Joep Stokkermans and Martin {\v C}ech and Beltman, \{Arend Jan\}",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 28th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2023 ; Conference date: 12-09-2023 Through 15-09-2023",
year = "2023",
doi = "10.1109/ETFA54631.2023.10275410",
language = "English",
series = "IEEE International Conference on Emerging Technologies and Factory Automation, ETFA",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2023 IEEE 28th International Conference on Emerging Technologies and Factory Automation, ETFA 2023",
address = "United States",
}