Prof. Dr. Jürgen Graf


  • 2000-2006 Computer Science and Telecommunication Engineering, KIT.
    2007-2010, PhD in Robotics, "Safe Human Robot Cooperation via Image Sequence Analysis", KIT.
    2009-2011, Research Group Lead and Postdoc, Cognitive Robotics, KIT.
    2011-2022, Industrial career. E.g.:

    • Development Engineer and Algorithm Design - Safe 3D Camera, SICK AG (Waldkirch),
    • Data Scientist (with budget competence), ZF AG (Saarbrücken),
    • Head of R&D, iMAR Navigation GmbH (St. Ingbert),
    • Sr. Manager, Sensing Technology and Computer Vision, Stryker (Freiburg i. Br.)

    2022-Now, Professor for Robotics, Department of Computer Science, Trier University of Applied Sciences.

Contact


Basic Research


    • Handlungserkennung in Bildfolgen (Pixel-zu-Text).
    • Lokalisierung und Navigation (Multi-Sensor Datenfusion).
    • Effiziente und sichere Bahn- und Trajektorienplanung.
    • KI basierte kollaborative, autonome und kognitive Roboter (symbolisch und sub-symbolisch).
    • Korrespondenzprobleme in Bildfolgen.
    • [früher] Variationelle Optische Flussschätzung (Bewegungsschätzung aus Bildfolgen).

Application related Research


    • Mobile Robotics (INS/GNSS/SLAM/...)

Received Awards, Prizes, Honors


    • Best Paper Award, "Recognition and Understanding Situations and Activities with Description Logics for Safe Human-Robot Cooperation," The Second International Conference on Advanced Cognitive Technologies and Applications, Lisboa, Portugal, 2010.
    • TechAD Award: "Most Advanced Real-Life Testing & Simulation Techniques in Autonomous Driving", Berlin 2018.
    • Dissertation with distinction (summa cum laude), KIT 2010.

Special Expertise


  • Basic Research

    • Knowledge-Based Systems: Agent Systems
    • Robotics: Collaborative Robot Systems, Human-Robot Collaboration
    • Technology Analysis: Human-AI Interaction

  • Application related Research

    • Smart Assistant Systems: Cognitive Assistance Systems
    • Autonomous Systems
    • Robotics
    • Image Recognition and Understanding
    • Perception and Sensor Fusion