publications

Please also see my Google Scholar profile for a full, up-to-date list of publications. If you would like to read, comment or discuss any of these works, please do not hesitate to get in touch.

2022

M. Rudorfer, M. Suchi, M. Sridharan, M. Vincze and A. Leonardis, ‘BURG-Toolkit: Robot Grasping Experiments in Simulation and the Real World,’ ICRA Workshop on Releasing Robots into the Wild, 2022. Project Page
A. Alliegro, M. Rudorfer, F. Frattin, A. Leonardis and T. Tommasi, ‘End-to-end learning to grasp via sampling from object point clouds,’ in IEEE Robotics and Automation Letters, vol. 7, no. 4, pp. 9865-9872, Oct. 2022. Paper, Code

2021

A. Vick, M. Rudorfer and V. Vonasek, ‘Benchmark concept for industrial pick&place applications,’ IOP Conference Series: Materials Science and Engineering, vol. 1140, no. 1, 2021. Paper
M. Rudorfer, ‘Towards robust object detection and pose estimation as a service for manufacturing industries,’ PhD thesis, TU Berlin. Thesis

2019

F. Von Drigalski, C. Schlette, M. Rudorfer, N. Correll, J. C. Triyonoputro, W. Wan, T. Tsuji and T. Watanabe, ‘Robots assembling machines: Learning from the world robot summit 2018 assembly challenge,’ Advanced Robotics, vol. 34, no. 7-8, pp. 408–421, 2020. Paper
M. Ziegler, M. Rudorfer, X. Kroischke, S. Krone and J. Krüger, ‘Point pair feature matching: Evaluating methods to detect simple shapes,’ in International Conference on Computer Vision Systems, Springer, 2019, pp. 445–456. Poster (pdf)
M. Rudorfer, L. Neumann and J. Krüger, ‘Towards learning 3d object detection and 6d pose estimation from synthetic data,’ in 2019 24th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), IEEE, 2019, pp. 1540–1543.
O. Kröger, J. Guhl, O. Heimann, M. Katanacho, C. Niebuhr, M. Rudorfer, T. Özkaya, J. Wassermann, J. Hügle, T. Pannen and J. Krüger, ‘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.
M. Rudorfer, C. Krause, A. Vick and J. Krüger, ‘Dienstebasierte Architekturen für Robotersysteme [service-based architectures for robot systems],’ Fortschritt-Berichte Fertigungstechnik: Produktion 2030 - Wandel in der Automatisierungstechnik, 2019.

2018

M. Rudorfer, T. J. Pannen and J. Krüger, ‘A case study on granularity of industrial vision services,’ in Proceedings of the 2nd International Symposium on Computer Science and Intelligent Control, Best Student Paper Award, 2018, pp. 1–6
M. Rudorfer, J. Guhl, P. Hoffmann and J. Krüger, ‘Holo pick’n’place,’ in 2018 IEEE 23rd International Conference on Emerging Technologies and Factory Automation (ETFA), IEEE, vol. 1, 2018, pp. 1219–1222
M. Rudorfer and J. Krüger, ‘Industrial image processing applications as orchestration of web services,’ Procedia CIRP, vol. 76, pp. 144–148, 2018.
M. Rudorfer and M. Chemnitz, ‘Dienstebasierte Integration objekt-spezifischer Lageerkennungsalgorithmen am Beispiel eines roboterbasierten Greifszenarios [service-based integration of object-specific pose detection methods for a robotic grasping scenario],’ Fortschritt-Berichte Fertigungstechnik: Industrie 4.0 - Wertschöpfungspotenziale in der dienstebasierten Produktion, 2018.

2016

M. Rudorfer and X. 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, GFaI Gesellschaft zur Förderung angewandter Informatik e.V., 2016, pp. 27–36.

2015

A. Vick, C. Horn, M. Rudorfer and J. Krüger, ‘Control of robots and machine tools with an extended factory cloud,’ in 2015 IEEE World Conference on Factory Communication Systems (WFCS), IEEE, 2015, pp. 1–4.