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M. Sc. Robert Hellbach

Senior Research Associate in der IKAP-Abteilung Intelligente IuK-Umgebungen für die kooperative Produktion

e-Mail
Telefon +49 421 218-50 110
Raum 1390
ORCID 0000-0002-9958-9251
ResearchGate-Profil von Robert Hellbach

Projekte

MeisterWaerme
KI-Assistenzsystem für das SHK-Handwerk zur Steigerung der Prozess- und Mitarbeitendeneffzienz mittels wissensbasierter Instandhaltung von Wärmetechnik-Systemen
01.05.2025 - 30.04.2028

AI-DAPT
AIOps framework to support and automate data and AI pipelines
01.01.2024 - 31.05.2027

FabLabs
Developing competences on the Internet of Things through digital fabrication laboratories
01.09.2022 - 31.08.2025

SmartPower
Training towards resilient micro-grids for smart factories
01.01.2023 - 31.12.2023

Skills4PdM
Employees Skills for Predictive Maintenance
01.01.2022 - 31.12.2022

UPMASS
Unified Predictive Maintenance and Scheduling System
01.01.2022 - 31.12.2022

SmartSense
Smart Sensor Platform for Autonomous Rope-Force measurement in Safety-Critical and Harsh Environments
01.11.2018 - 31.10.2020

NIMBLE
Collaborative Network for Industry, Manufacturing, Business and Logistics in Europe
01.10.2016 - 31.03.2020

In-Control
Integrated Controlled Test Environment
01.03.2018 - 28.02.2020

bIoTope
Building an IoT OPen innovation Ecosystem for connected smart objects
01.01.2016 - 31.12.2018

BibTeX Schließen

Publikationen

Konferenzbeitrag (referiert)

Manettas, C., Mastos, T., Hellbach, R., Kanellos, D., Bampoula, X., Papadopoulos, A., Alexopoulos, K.
Development and Validation of a Training Framework Towards the Integration of Smart Micro-grids into Manufacturing: A Case from the Lifts’ Industry
In: Thiede, S., Lutters, E. (eds.): Learning Factories of the Future. Proceedings of the 14th Conference on Learning Factories 2024, Volume 2. Springer-Verlag, Cham, 2024, pp. 125-133, DOI 10.1007/978-3-031-65400-8_15
[DOI | BibTeX]

Hellbach, R., Klein, K., Hribernik, K. A., Thoben, K.-D.
IoT-enabled communication systems in testing environments
In: Procedia Manufacturing, 52(2020), pp. 85-88, DOI 10.1016/j.promfg.2020.11.016
[DOI | BibTeX]