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Intelligent Motion Control under Industry 4.E

Descripción del proyecto

Inteligencia con distribución vertical del borde a la nube para robots y sistemas ciberfísicos

El proyecto financiado con fondos europeos IMOCO4.E tiene como objetivo llevar los sistemas mecatrónicos al límite, hacerlos más inteligentes y más configurables. Esto se logrará combinando y aprovechando información sensorial novedosa, métodos basados en modelos, inteligencia artificial, aprendizaje automático y filosofías del internet de las cosas industrial. IMOCO4.E proporcionará inteligencia del borde a la nube para máquinas, robots y otros sistemas de automatización con intervención humana. Al reunir a 46 socios de 13 países, el proyecto ayudará a conformar el futuro de la industria manufacturera 4.0 de Europa. Observará y controlará máquinas complejas y robots. En concreto, proporcionará una arquitectura de referencia que se verificará en aplicaciones para semiconductores, envasado, robótica industrial y sanidad.

Objetivo

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.

Régimen de financiación

RIA - Research and Innovation action

Coordinador

SIOUX TECHNOLOGIES BV
Aportación neta de la UEn
€ 398 203,13
Dirección
ESP 405
5633 AJ Eindhoven
Países Bajos

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Región
Zuid-Nederland Noord-Brabant Zuidoost-Noord-Brabant
Tipo de actividad
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Enlaces
Coste total
€ 1 592 812,50

Participantes (46)