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TU Berlin

Inhalt des Dokuments

Publikationen

Lehr, J., Schlüter, M. and Krüger, J. (2018). Decentralized Identification of Used Exchange Parts With a Mobile Application. Proceedings of the 16th Global Conference on Sustainable Manufacturing (GCSM)


Lisounkin, A. (2006). Simulationstechnik in der Produktion. VDI Verlag, 69-80.


Lisounkin, A., Sabov, A., Schreck, G. and Krüger, J. (2006). Simulation Based Training and Assistance System for Biogas Facilities. Proceedings of Industrial Simulation Conference 2006, 151-155.



Lutz, O. H.-M. and Krüger, J. (2017). Assessing visual attention in virtual reality: Automatic one-point calibration for eye-tracking. 2017 International Conference on Virtual Rehabilitation (ICVR), 1-2.


Minge, M., Ivanova, E., Lorenz, K., Joost, G., Thüring, M. and Krüger, J. (2017). BeMobil: Developing a user-friendly and motivating telerehabilitation system for motor relearning after stroke. 2017 International Conference on Rehabilitation Robotics (ICORR), 870-875.


Müller, B., Nguyen, T. D., Dang, Q.-V., Duc, B. M., Krüger, J., Kohl, H. and Seliger, G. (2016). Motion tracking applied in assembly for worker training in different locations. 23rd CIRP Conference on Life Cycle Engineering. Elsevier, 460-465.


Nguyen, T. D., Kleinsorge, M. and Krüger, J. (2014). A system for automated live ergonomics assessment and its applications in manufacturing. Advances in Physical Ergonomics and Human Factors: Part I, 211 - 212.


Nguyen, T. D., Kleinsorge, M. and Krüger, J. (2013). Pose classification using Kinect Sensor for Ergonomics. 3D-NordOst 2013 - 16. Anwendungsbezogener Workshop zur Erfassung, Modellierung, Verarbeitung und Auswertung von 3D-Daten, 125 - 133.


Nguyen, T. D., Kleinsorge, M., Postawa, A., Wolf, K., Scheumann, R., Krüger, J. and Seliger, G. (2013). Human centric automation: Using marker-less motion capturing for ergonomics analysis and work assistance in manufacturing processes. Proceedings of the 11th Global Conference on Sustainable Manufacturing (GCSM) - Innovative Solutions, 586 - 592.


Nikoleizig, S., Vick, A. and Krüger, J. (2017). Compensating human feedback oscillation in compliance control for industrial robots. 2017 3rd International Conference on Control, Automation and Robotics (ICCAR), 221-224.


Poehler, D., Zimmermann, R., Widdecke, B., Zoberbier, H., Schneider, J., Nickolay, B. and Krüger, J. (2015). Content representation and pairwise feature matching method for virtual reconstruction of shredded documents. Image and Signal Processing and Analysis (ISPA), 2015 9th International Symposium on, 143-148.


Postawa, A., Kleinsorge, M., Krüger, J. and Seliger, G. (2010). Automated Image Based Recognition of Manual Work Steps in the Remanufacturing of Alternators. Advances in Sustainable Manufacturing: Proceedings of the 8th Global Conference on Sustainable Manufacturing. Springer Berlin Heidelberg, 209-214.



Radmer, J., Hussein, S. and Krüger, J. (2010). Markerless motion tracking for assessment of robot assisted gait rehabilitation. Proceedings of the 2nd Joint ESMAC-GCMAS Conference. Gait and Clinical Movement Analysis Society (GCMAS) and European Society of Movement Analysis in Adults and Children (ESMAC).


Radmer, J. and Krüger, J. (2006). Zuverlässigkeit und Diagnose in der Produktion. VDI Verlag, 97-107.


Radmer, J. and Krüger, J. (2010). Ganganalyse für die klinische Anwendung auf Basis von Tiefendaten. Proceedings of Bildverarbeitung für die Medizin 2010, Algorithmen - Systeme - Anwendungen. Springer, 385-390.


Radmer, J. and Krüger, J. (2010). Depth data based capture of human movement for biomechanical application in clinical rehabilitation use. Health Informatics and Bioinformatics (HIBIT), 2010 5th International Symposium on Health Informatics and Bioinformatics, 144-148.


Radmer, J. and Krüger, J. (2009). Segmentierung bewegter Objekte auf Basis von Tiefenkameradaten. Tagungsband 12. Anwendungsbezogener Workshop zur Erfassung, Modellierung, Verarbeitung und Auswertung von 3D-Daten. Gesellschaft zur Förderung angewandter Informatik.


Radmer, J. and Krüger, J. (2007). Moving Object Detection using Dynamic 2 1/2D Data for Robot Surrounding Field Monitoring. Proceeding of the 7th Int. Conference on Visualization, Imaging and Image Processing (VIIP). Acta Press, 97-107.


Radmer, J., Sabov, A. and Krüger, J. (2008). Data Evaluation and Depth Calibration of a Customary PMD Range Imaging Sensor Considering Objects with Different Albedo. Proceedings of the International Conference on Computer Vision Theory and Applications - VISAPP 2008, 169-173.


Radojicic, J., Surdilovic, D. and Krüger, J. (2005). Control algorithms of pneumatic muscle actuators in complex mechanical chains. Proceedings of the 3rd International Symposium on Adaptive Motion in Animals and Machines


Rakowski, A. and Wandzik, L. (2018). Hand Shape Recognition Using Very Deep Convolutional Neural Networks. Proceedings of the 2018 International Conference on Control and Computer Vision. ACM, 8–12.


Rose, A. and Krüger, J. (2006). A simple new method for visualizing the accuracy of navigation systems. Deutsche Gesellschaft für Computer- und Roboterassistierte Chirurgie (Jahrestagung)(CURAC)


Rose, A., Krüger, J. and Lüth, T. C. (2006). Eine Methode zur qualitativen Bewertung von Lokalisatoren für optische Positionsmesssysteme. Gemeinsame Jahrestagung der Deutschen, Österreichischen und Schweizerischen Gesellschaft für Biomedizinische Technik (BMT)


Rosenstrauch, M. J. and Krüger, J. (2018). Safe human robot collaboration - Operation area segmentation for dynamic adjustable distance monitoring. 2018 4th International Conference on Control, Automation and Robotics (ICCAR), 17-21.


Rosenstrauch, M. J. and Krüger, J. (2017). Safe human-robot-collaboration-introduction and experiment using ISO/TS 15066. 2017 3rd International Conference on Control, Automation and Robotics (ICCAR), 740-744.


Rudorfer, M. and Chemnitz, M. (2018). Dienstebasierte Integration objektspezifischer Lageerkennungsalgorithmen am Beispiel eines roboterbasierten Greifszenarios. Fortschritt-Berichte VDI: Industrie 4.0 - Wertschöpfungspotenziale in der dienstebasierten Produktion, 35-44.


Rudorfer, M., Guhl, J., Hoffmann, P. and Krüger, J. (2018). Holo Pick'n'Place. 2018 IEEE 23rd International Conference on Emerging Technologies and Factory Automation (ETFA), 1219-1222.


Rudorfer, M. and Kroischke, X. (2016). Evaluation of Point Pair Feature Matching for Object Recognition and Pose Determination in 3D Scenes. 19. Anwendungsbezogener Workshop zur Erfassung, Modellierung, Verarbeitung und Auswertung von 3D-Daten. Polyprint GmbH, 27-36.


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