Skip to main content Skip to main navigation

Head of the Research Department Innovative Factory Systems

Prof. Dr.-Ing. Martin Ruskowski

Organizational unit Innovative Factory Systems
Contact +49 631 20575 3400 (Kaiserslautern)

Address (Kaiserslautern) Trippstadter Straße 12267663 KaiserslauternDeutschland
Prof. Dr.-Ing. Martin Ruskowski

Publications

All publications
  1. Enabling Non-smart Assets Using Peripheral Digital Twins

    Alexandra Ritter; Manuel Reif; Pascal Rübel; Benjamin Blumhofer; Simon Jungbluth; Martin Ruskowski

    In: Krishnaswami Srihari; Mohammad T. Khasawneh; Sangwon Yoon; Daehan Won (Hrsg.). Flexible Automation and Intelligent Manufacturing: The Future of Automation and Manufacturing: Intelligence, Agility, and Sustainability. International Conference on Flexible Automation and Intelligent Manufacturing (FAIM-2025), Cham, Pages 240-253, ISBN 978-3-032-07675-5, Springer Nature Switzerland, 2026.

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.

  • DPP4Value

    Integration Digitaler Produktpässe für eine kreislauforientierte Wertschöpfung
  • RUST2LIFE

    Remanufacturing Upscaling via Semantic and interoperable digital Twins towards circuLar, AI-driven, standardized and Industry 5.0-ready manuFacturing Ecosystems
  • iOLA

    internationaler Ort für die Konzeption eines KI-Agenten zur dynamischen Lebenszyklusanalyse von Produkten und Dienstleistungen
  • 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…

    RAASCEMAN
  • 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
Show all projects

Portrait photo