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Intelligent Motion Control under Industry 4.E

Project description

DEENESFRITPL

Vertically distributed edge-to-cloud intelligence for robots and cyber-physical systems

The EU-funded IMOCO4.E project aims to push mechatronic systems to the limits, make them smarter and more configurable. This will be achieved by combining and exploiting novel sensory information, model-based approaches, AI, machine learning and industrial IoT philosophies. IMOCO4.E will provide edge-to-cloud intelligence for machines, robots and other human in the-loop automation systems. Bringing together 46 partners from 13 countries, the project will help shape the future of Industry 4.0 manufacturing in Europe. It will both perceive and control complex machines and robots. Specifically, it will deliver a reference architecture that will be verified in applications for semiconductors, packaging, industrial robotics and healthcare.

Objective

IMOCO4.E targets to provide vertically distributed edge-to-cloud intelligence for machines, robots and other human-in-the-loop cyber-physical systems having actively controlled moving elements. They face ever-growing requirements on long-term energy efficiency, size, motion speed, precision, adaptability, self-diagnostic, secure connectivity or new human-cognitive features.
IMOCO4.E strives to perceive and understand complex machines and robots. The two main pillars of the project are digital twins and AI principles (machine/deep learning). These pillars build on the I-MECH reference framework and methodology, by adding new tools to layer 3 that delivers an intelligible view on the system, from the initial design throughout its entire life cycle. For effective employment, completely new demands are created on the Edge layers (Layer 1) of the motion control systems (including variable speed drives and smart sensors) which cannot be routinely handled via available commercial products.
Based on this, the subsequent mission is to bring adequate edge intelligence into the Instrumentation and Control Layers, to analyse and process machine data at the appropriate levels of the feedback control loops and to synchronise the digital twins with either simulated or real-time physical world. At all levels, AI techniques are employable.
Summing up, IMOCO4.E strives to deliver a reference platform consisting of AI and digital twin toolchains and a set of mating building blocks for resilient manufacturing applications. The optimal energy efficient performance and easy (re)configurability, traceability and cyber-security are crucial.
The IMOCO4.E reference platform benefits will be directly verified in applications for semicon, packaging, industrial robotics and healthcare. Additionally, the project demonstrates the results in other generic “motion-control-centred” domains.
The project outputs will affect the entire value chain of the production automation and application markets.

Fields of science

Keywords

Programme(s)

Topic(s)

Call for proposal

H2020-ECSEL-2020-2-RIA-two-stage

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Funding Scheme

RIA - Research and Innovation action

Coordinator

SIOUX TECHNOLOGIES BV
Net EU contribution
€ 398 203,13
Address
ESP 405
5633 AJ Eindhoven
Netherlands

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Region
Zuid-Nederland Noord-Brabant Zuidoost-Noord-Brabant
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Links
Total cost
€ 1 592 812,50

Participants (46)

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Last update: 30 April 2024

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Permalink: https://cordis.europa.eu/project/id/101007311

European Union, 2024