Research

I studied computational engineering science at the Technical University Berlin. After that, I went on as a PhD student in the department of automation technology of the same university. My research comprised several exciting topics, the general scope can be summarized as computer vision and robotics.

In computer vision I mainly investigated object detection and pose estimation methods, which ultimately allow a robot to identify the objects in its environment and interact with them. I also dedicated a lot of time thinking about service-oriented architectures for vision systems. They should be able to exploit cloud computing advantages while keeping up with the constraint of short cycle times in production environments. These architectures are not necessarily unique to vision systems and together with my colleagues we strived to split up industrial robotic systems into a set of loosely coupled services that are ideally multi-purpose to be reused in other systems or applications.

This page shall give a very rough overview of some more specific topics. I will continue to add topics, there are some that I have not yet written down and hopefully I can take part in new research projects in the future. If any of this is interesting to you, feel free to contact me. I will be glad to answer your questions or send you the papers.

 

List of Publications

  • Felix von Drigalski, Christian Schlette, Martin Rudorfer, Nikolaus Correll, Joshua C. Triyonoputro, Weiwei Wan, Tokuo Tsuji, and Tetsuyou Watanabe. Robots assembling machines: learning from the World Robot Summit 2018 Assembly Challenge”. In: Advanced Robotics (2019), pp. 1–14.
  • Markus Ziegler, Martin Rudorfer, Xaver Kroischke, Sebastian Krone, and Jörg Krüger. “Point Pair Feature Matching: Evaluating Methods to Detect Simple Shapes”. In: 12th International Conference on Computer Vision Systems (ICVS). Vol. 1. 2019.
  • Ole Kröger, Jan Guhl, Oliver Heimann, Manuel Katanacho, Carsten Niebuhr, Martin Rudorfer, Tayyip Özkaya, Jonas Wassermann, Johannes Hügle, Tessa Pannen, et al. “A Service-oriented Robotic Manufacturing System: Lessons Learned from Participating in the World Robot Challenge 2018”. In: Tagungsband des 4. Kongresses Montage Handhabung Industrieroboter. Springer, 2019, pp. 44–53.
  • Martin Rudorfer, Lukas Neumann, and Jörg Krüger. Towards Learning 3d Object Detection and 6d Pose Estimation from Synthetic Data”. In: 2019 IEEE 24th International Conference on Emerging Technologies and Factory Automation (ETFA). Vol. 1. 2019.
  • Martin Rudorfer, Christian Krause, Axel Vick, and Jörg Krüger. “Dienstebasierte Architekturen für Robotersysteme”. In: Produktion 2030 - Wandel in der Automatisierungstechnik. Ed. by Jörg Krüger, Eckart Uhlmann, Alexander Verl, Oliver Riedel, and Christian Brecher. Fortschritt-Berichte Fertigungstechnik. Düsseldorf: VDI Verlag, 2019. isbn: 978-3-18-369902-5 .
  • Martin Rudorfer, Jan Guhl, Paul Hoffmann, and Jörg Krüger. Holo Pick’n’Place”. In: 2018 IEEE 23rd International Conference on Emerging Technologies and Factory Automation (ETFA). Vol. 1. 2018, pp. 1219–1222.
  • Martin Rudorfer and Jörg Krüger. “Industrial Image Processing Applications as Orchestration of Web Services”. In: Procedia CIRP 76 (2018), pp. 144–148.
  • Martin Rudorfer, Tessa J. Pannen, and Jörg Krüger. “A Case Study on Granularity of Industrial Vision Services”. In: Proceedings of the 2nd International Symposium on Computer Science and Intelligent Control. 2018, p. 59.
  • Martin Rudorfer and Moritz Chemnitz. “Dienstebasierte Integration objekt-spezifischer Lageerkennungsalgorithmen am Beispiel eines roboterbasierten Greifszenarios”. In: Industrie 4.0 - Wertschöpfungspotenziale in der dienstebasierten Produktion. Ed. by Christian Brecher, Jörg Krüger, Eckart Uhlmann, Alexander Verl, Oliver Riedel, and Armin Lechler. Fortschritt-Berichte Fertigungstechnik. Düsseldorf: VDI Verlag, 2018, pp. 35–44. isbn: 978-3-18-369802-8 .
  • Martin Rudorfer and Xaver Kroischke. Evaluation of Point Pair Feature Matching for Object Recognition and Pose Determination in 3D Scenes”. In: 19. Anwendungsbezogener Workshop zur Erfassung, Modellierung, Verarbeitung und Auswertung von 3D-Daten. Berlin: GFaI Gesellschaft zur Förderung angewandter Informatik e. V., 2016, pp. 27–36. isbn: 978-3-942709-16-3 .
  • Axel Vick, Christian Horn, Martin Rudorfer, and Jörg Krüger. “Control of robots and machine tools with an extended factory cloud”. In: Factory Communication Systems (WFCS), 2015 IEEE World Conference on. 2015, pp. 1–4.
  • Martin Rudorfer. "Design and Implementation of a Classification Algorithm for Speed Limit Traffic Sign Recognition". Diploma thesis in cooperation with Berner & Mattner Systemtechnik GmbH, TU Berlin, 2014.