Prof. Dr.-Ing. Martin Ruskowski

Head of the Research Department Innovative Factory Systems

Organizational unit Innovative Factory Systems

Contact +49 631 20575 3400 (Kaiserslautern)

Martin.Ruskowski@dfki.de

Address (Kaiserslautern) Trippstadter Straße 12267663 KaiserslauternDeutschland

Publications

All publications

An ODP-based Ontology for the Digital Product Passport
Monireh Pourjafarian; Christiane Plociennik; Simon Bergweiler; Nastaran Moarefvand; Jonas Brozeit; Mahdi Rezapour; Martin Ruskowski (Hrsg.)
CIRP Conference on Life Cycle Engineering (CIRP LCE-2025), 32nd CIRP Conference on Life Cycle Engineering, located at LCE2025, April 7-9, The University of Manchester, United Kingdom, DFKI Research Reports (RR), Elsevier B.V. Procedia CIRP, 5/2025.
AI-enabled Textile Quality Control based on Consumer Hardware
Thomas Achim Schmeyer; Kai Krämer; Sven Pultar; Ali Nazeri; Christiane Plociennik; Martin Ruskowski
In: 11th IFAC Conference on Manufacturing Modelling, Management and Control MIM 2025. IFAC Conference on Manufacturing Modelling, Management and Control (MIM-2025), June 30 - July 3, Trondheim, Norway, Elsevier, Amsterdam, Netherlands, 2025.
Numerical benchmarking of dual decomposition-based optimization algorithms for distributed model predictive control
Vassilios Yfantis; Achim Wagner; Martin Ruskowski
In: Results in Control and Optimization (RICO), Vol. 17, Pages 1-19, Elsevier, 12/2024.

Profile

Short Biography

Prof. Dr.-Ing. Martin Ruskowski is Head of the Innovative Factory Systems research department at the German Research Center for Artificial Intelligence (DFKI) and is Chair of the Department of Machine Tools and Control Systems at the University Kaiserslautern-Landau (RPTU) and chairman of the board of the technology initiative SmartFactory KL. His major research focus is on the development of innovative control concepts for automation, artificial intelligence in automation technology and industrial robots as machine tools. Prior to these positions, Ruskowski held several management positions at industrial firms, most recently as Vice President for Global Research and Development at KUKA Industries Group.

RAASCEMAN
Resilient and Adaptive Supply Chains for Capability-based Manufacturing as a Service Networks
The manufacturing sector faces challenges such as increasing international competition, political tensions, material shortages or unpredictable natural events. The RAASCEMAN project aims to mitigate…
STAR
Safe and Trusted Human Centric ARtificial Intelligence in Future Manufacturing Lines
STAR is a joint effort of AI and digital manufacturing experts towards enabling the deployment of standard-based secure, safe and reliable human-centric AI systems in real-life manufacturing…
PHYSICS
Optimized hybrid space-time service continuum in FAAS
PHYSICS’s vision is to address the aforementioned challenges and empower application developers, platform owners and infrastructure providers (e.g. Cloud, Edge etc). For the former, the goal is to…
ReCircE
Digital Lifecycle Record for the Circular Economy
Kunststoffmüll ist ein Problem. Weltweit. Der Grund: Kunststoff ist meist verbaut und Teil eines komplexen Produktes: Auto, Kühlschrank, Lederschuh oder Smartphone. Materialanalyse, -trennung und…
MAS4AI
Multi-Agent Systems for Pervasive Artificial Intelligence for assisting Humans in Modular Production Environments
Development of a multi-agent-based technology for the integration of AI algorithms in autonomous modular production with worker assistance.
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