Head of the Research Department Innovative Factory Systems

Prof. Dr.-Ing. Martin Ruskowski

  • Address (Kaiserslautern)
    Trippstadter Straße 122
    D-67663 Kaiserslautern
    Deutschland

Prof. Dr.-Ing. Martin Ruskowski

Publications

Christiane Plociennik, Monireh Pourjafarian, Ali Nazeri, Waldemar Windholz, Svenja Knetsch, Julian Rickert, Andreas Ciroth, Alice do Carmo Precci Lopes, Tabea Hagedorn, Malte Vogelgesang, Wladislaw Benner, Andrea Gassmann, Simon Bergweiler, Martin Ruskowski, Liselotte Schebek, Anke Weidenkaff

In: Wim Dewulf, Joost Duflou (editor). The 29th CIRP Conference on Life Cycle Engineering. CIRP Conference on Life Cycle Engineering (CIRP LCE-2022) April 4-6 Leuven Belgium Pages 122-127 Procedia CIRP 105 Elsevier 2022.

To the publication
William Motsch, Kirill Dorofeev, Kathrin Gerber, Sönke Knoch, Alexander David, Martin Ruskowski

In: 26th International Conference on Emerging Technologies and Factory Automation. IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) IEEE 9/2021.

To the publication

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 Technical University of Kaiserslautern 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.

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…

STAR

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…

PHYSICS

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.

Partners

  • DMD Med Tech
  • InTechCentras
  • LMS
  • tecnalia
  • aimen
  • TNO
MAS4AI

RACKET


Rare Class Learning and Unknown Events Detection for Flexible Production

The RACKET project addresses the problem of detecting rare and unknown faults by combining model-based and machine learning methods. The approach is based on the assumption that a physical or…

RACKET

DIGITbrain


Digital twins bringing agility and innovation to manufacturing SMEs, by empowering a network of DIHs with an integrated digital platform that enables Manufacturing as a Service (MaaS)

DIGITbrain Project is an EU innovation program to give SMEs easy access to digital twins.

A Digital Twin is the virtual representation of a product, system or process that simulates its physical…

DIGITbrain

German Research Center for Artificial Intelligence
Deutsches Forschungszentrum für Künstliche Intelligenz