Wissenschaftliche Artikel

Jing, X., Qian, K., & Vincze, M. (2025). CAGT: Sim-to-Real Depth Completion with Interactive Embedding Aggregation and Geometry Awareness for Transparent Objects. IEEE Transactions on Circuits and Systems for Video Technology. https://doi.org/10.34726/9499 ( reposiTUm)

Gupta, H., Thalhammer, S., Weibel, J.-B., Haberl, A., & Vincze, M. (2024). ReFlow6D: Refraction-Guided Transparent Object 6D Pose Estimation via Intermediate Representation Learning. IEEE Robotics and Automation Letters, 9(11), 9438–9445. https://doi.org/10.1109/LRA.2024.3455897 ( reposiTUm)

Thalhammer, S., Bauer, D., Hönig, P., Weibel, J.-B. N., García-Rodríguez, J., & Vincze, M. (2024). Challenges for monocular 6D object pose estimation in robotics. IEEE Transactions on Robotics. https://doi.org/10.34726/8119 ( reposiTUm)

de la Puente, P., Vincze, M., Guffanti, D., & Galan, D. (2024). Editorial: Assistive and service robots for health and home applications (RH3 - Robot Helpers in Health and Home). Frontiers in Neurorobotics, 18, 1–4. https://doi.org/10.3389/fnbot.2024.1503038 ( reposiTUm)

Frijns, H. A., Hirschmanner, M., Sienkiewicz, B., Hönig, P., Indurkhya, B., & Vincze, M. (2024). Human-in-the-loop error detection in an object organization task with a social robot. Frontiers in Robotics and AI, 11, Article 1356827. https://doi.org/10.3389/frobt.2024.1356827 ( reposiTUm)

Hoebert, T., Seibel, S., Amersdorfer, M., Vincze, M., Lepuschitz, W., & Merdan, M. (2024). A framework for enhanced human–robot collaboration during disassembly using digital twin and virtual reality. Robotics, 13(7), Article 104. https://doi.org/10.3390/robotics13070104 ( reposiTUm)

Jäggle, G., Posekany, A., Lepuschitz, W., Koppensteiner, G., Zakall, S., Vincze, M., & Merdan, M. (2024). Educational practices for improvement of sustainability education at secondary school level. Science Activities. https://doi.org/10.1080/00368121.2024.2376758 ( reposiTUm)

Koller, M., Weiss, A., Hirschmanner, M., & Vincze, M. (2023). Robotic gaze and human views: A systematic exploration of robotic gaze aversion and its effects on human behaviors and attitudes. Frontiers in Robotics and AI, 10, Article 1062714. https://doi.org/10.3389/frobt.2023.1062714 ( reposiTUm)

Vincze, M., Weibel, J.-B. N., Thalhammer, S., Gupta, H., & Ausserlechner, P. (2023). Erkennung transparenter Objekte für die Laborautomatisierung. Elektrotechnik und Informationstechnik : e & i, 140(6), 519–529. https://doi.org/10.34726/8120 ( reposiTUm)

Thalhammer, S., Weibel, J.-B., Vincze, M., & Rodriguez-Garcia, J. (2023). Self-supervised Vision Transformers for 3D pose estimation of novel objects. Image and Vision Computing, 139, Article 104816. https://doi.org/10.1016/j.imavis.2023.104816 ( reposiTUm)

Thalhammer, S., Jean-Baptiste Weibel, Markus Vincze, & Rodriguez-Garcia, J. (2023). Self-supervised Vision Transformers for 3D Pose Estimation of Novel Objects. Image and Vision Computing, 139, Article 104816. https://doi.org/10.1016/j.imavis.2023.104816 ( reposiTUm)

Weibel, J. B., Patten, T., & Vincze, M. (2022). Robust Sim2Real 3D Object Classification Using Graph Representations and a Deep Center Voting Scheme. IEEE Robotics and Automation Letters, 7(3), 8028–8035. https://doi.org/10.1109/LRA.2022.3186745 ( reposiTUm)

Langer, E., Patten, T. M., & Vincze, M. (2022). Where Does It Belong? Autonomous Object Mapping in Open-World Settings. Frontiers in Robotics and AI, 9, Article 828732. https://doi.org/10.3389/frobt.2022.828732 ( reposiTUm)

Tschiedel, M., Russold, M. F., Kaniusas, E., & Vincze, M. (2022). Real-time limb tracking in single depth images based on circle matching and line fitting. The Visual Computer: International Journal of Computer Graphics, 38(8), 2635–2645. https://doi.org/10.1007/s00371-021-02138-x ( reposiTUm)

Hoebert, T., Lepuschitz, W., Vincze, M., & Merdan, M. (2021). Knowledge-driven framework for industrial robotic systems. Journal of Intelligent Manufacturing. https://doi.org/10.1007/s10845-021-01826-8 ( reposiTUm)

Weibel, J.-B., Patten, T., & Vincze, M. (2020). Addressing the Sim2Real Gap in Robotic 3-D Object Classification. IEEE Robotics and Automation Letters, 5(2), 407–413. https://doi.org/10.1109/lra.2019.2959497 ( reposiTUm)

Loghmani, M. R., Robbiano, L., Planamente, M., Park, K., Caputo, B., & Vincze, M. (2020). Unsupervised Domain Adaptation through Inter-modal Rotation for RGB-D Object Recognition. IEEE Robotics and Automation Letters, 5(4), 6631–6638. https://doi.org/10.1109/lra.2020.3007092 ( reposiTUm)

Riegler-Nurscher, P., Moitzi, G., Prankl, J., Huber, J., Karner, J., Wagentristl, H., & Vincze, M. (2020). Machine vision for soil roughness measurement and control of tillage machines during seedbed preparation. Soil & Tillage Research, 196(104351), 104351. https://doi.org/10.1016/j.still.2019.104351 ( reposiTUm)

Bauer, D., Patten, T., & Vincze, M. (2020). VeREFINE: Integrating Object Pose Verification With Physics-Guided Iterative Refinement. IEEE Robotics and Automation Letters, 5(3), 4289–4296. https://doi.org/10.1109/lra.2020.2996059 ( reposiTUm)

Patten, T., Park, K., & Vincze, M. (2020). DGCM-Net: Dense geometrical correspondence matching network for incremental experience-based robotic grasping. Frontiers in Robotics and AI, 7. https://doi.org/10.3389/frobt.2020.00120 ( reposiTUm)

Vincze, M., Patten, T., Park, K., & Bauer, D. (2020). Learn, detect, and grasp objects in real-world settings. Elektrotechnik Und Informationstechnik, 137(6), 324–330. https://doi.org/10.1007/s00502-020-00817-6 ( reposiTUm)

Yan, Z., Schreiberhuber, S., Halmetschlager, G., Duckett, T., Vincze, M., & Bellotto, N. (2020). Robot perception of static and dynamic objects with an autonomous floor scrubber. Intelligent Service Robotics, 13(3), 403–417. https://doi.org/10.1007/s11370-020-00324-9 ( reposiTUm)

Loghmani, M. R., Planamente, M., Caputo, B., & Vincze, M. (2019). Recurrent Convolutional Fusion for RGB-D Object Recognition. IEEE Robotics and Automation Letters, 4(3), 2878–2885. https://doi.org/10.1109/lra.2019.2921506 ( reposiTUm)

De La Puente, P., Fischinger, D., Bajones, M., Wolf, D., & Vincze, M. (2019). Grasping Objects From the Floor in Assistive Robotics: Real World Implications and Lessons Learned. IEEE Access, 7, 123725–123735. https://doi.org/10.1109/access.2019.2938366 ( reposiTUm)

Tsiourti, C., Weiss, A., Wac, K., & Vincze, M. (2019). Multimodal Integration of Emotional Signals from Voice, Body, and Context: Effects of (In)Congruence on Emotion Recognition and Attitudes Towards Robots. International Journal of Social Robotics. https://doi.org/10.1007/s12369-019-00524-z ( reposiTUm)

Bajones, M., Fischinger, D., Weiss, A., Wolf, D., Vincze, M., de la Puente, P., Körtner, T., Weninger, M., Papoutsakis, K., Michel, D., Qammaz, A., Panteleris, P., Foukarakis, M., Adami, I., Ioannidi, D., Leonidis, A., Antona, M., Argyros, A., Mayer, P., … Frennert, S. (2018). Hobbit: Providing Fall Detection and Prevention for the Elderly in the Real World. Journal of Robotics, 2018, Article 1754657. https://doi.org/10.1155/2018/1754657 ( reposiTUm)

Bandera, A., Dias, J., Vincze, M., & Manso, L. J. (2018). Special issue on cognitive robotics. Cognitive Processing, 19(2), 231–232. https://doi.org/10.1007/s10339-018-0863-8 ( reposiTUm)

de la Puente, P., Bajones, M., Reuther, C., Wolf, D., Fischinger, D., & Vincze, M. (2018). Robot Navigation in Domestic Environments: Experiences Using RGB-D Sensors in Real Homes. Journal of Intelligent and Robotic Systems, 94(2), 455–470. https://doi.org/10.1007/s10846-018-0885-6 ( reposiTUm)

Halmetschlager-Funek, G., Suchi, M., Kampel, M., & Vincze, M. (2018). An Empirical Evaluation of Ten Depth Cameras: Bias, Precision, Lateral Noise, Different Lighting Conditions and Materials, and Multiple Sensor Setups in Indoor Environments. IEEE Robotics and Automation Magazine, 26(1), 67–77. https://doi.org/10.1109/mra.2018.2852795 ( reposiTUm)

Vincze, M., Zillich, M., & Prankl, J. (2017). Roboter lernen mit Gegenständen umzugehen: neue Entwicklungen und Chancen. Elektrotechnik und Informationstechnik : e & i, 134(6), 304–311. https://doi.org/10.1007/s00502-017-0515-1 ( reposiTUm)

Potapova, E., Zillich, M., & Vincze, M. (2017). A Survey of Recent Advances in 3D Visual Attention for Robotics. International Journal of Robotics Research, 36(11), 1159–1176. http://hdl.handle.net/20.500.12708/146661 ( reposiTUm)

Vincze, M. (2017). Vertrauenswürdige Roboter. Elektrotechnik Und Informationstechnik, 134(6), 291–292. http://hdl.handle.net/20.500.12708/146817 ( reposiTUm)

Vincze, M. (2017). Die langsame Transformation der Robotik. Elektrotechnik und Informationstechnik : e & i, 134(7), 355–360. https://doi.org/10.1007/s00502-017-0533-z ( reposiTUm)

Hawes, N., Burbridge, C., Jovan, F., Kunze, L., Lacerda, B., Mudrova, L., Young, J., Wyatt, J., Hebesberger, D., Körtner, T., Ambrus, R., Bore, N., Folkesson, J., Jensfelt, P., Beyer, L., Hermans, A., Leibe, B., Aldoma-Buchaca, A., Fäulhammer, T., … Hanheide, M. (2017). The STRANDS Project: Long-Term Autonomy in Everyday Environments. IEEE ROBOTICS & AUTOMATION MAGAZINE, 24(3), 146–156. https://doi.org/10.1109/mra.2016.2636359 ( reposiTUm)

Fäulhammer, T., Ambrus, R., Burbridge, C., Zillich, M., Folkesson, J., Hawes, N., Jensfelt, P., & Vincze, M. (2016). Autonomous Learning of Object Models on a Mobile Robot. IEEE Robotics and Automation Letters, 2(1), 26–33. https://doi.org/10.1109/lra.2016.2522086 ( reposiTUm)

Gil, P., Mezouar, Y., Vincze, M., & Corrales, J. A. (2016). Robotic Perception of the Sight and Touch to Interact with Environments. Journal of Sensors, 2016(ID 1751205). http://hdl.handle.net/20.500.12708/149488 ( reposiTUm)

Mörwald, T., Balzer, J., & Vincze, M. (2016). Modeling connected regions in arbitrary planar point clouds by robust B-spline approximation. Robotics and Autonomous Systems, 76, 141–151. https://doi.org/10.1016/j.robot.2015.11.006 ( reposiTUm)

Patten, T., Zillich, M., Fitch, R., Vincze, M., & Sukkarieh, S. (2016). Viewpoint Evaluation for Online 3-D Active Object Classification. IEEE Robotics and Automation Letters, 1(1), 73–81. https://doi.org/10.1109/lra.2015.2506901 ( reposiTUm)

Aldoma Buchaca, A., Tombari, F., Da Stefano, L., & Vincze, M. (2016). A Global Hypothesis Verification Framework for 3D Object Recognition in Clutter. IEEE Transactions on Pattern Analysis and Machine Intelligence, 38(7), 1383–1396. https://doi.org/10.1109/TPAMI.2015.2491940 ( reposiTUm)

Fischinger, D., Einramhof, P., Papoutsakis, K., Wohlkinger, W., Mayer, P., Panek, P., Hofmann, S., Koertner, T., Weiss, A., Argyros, A., & Vincze, M. (2016). Hobbit, a care robot supporting independent living at home: First prototype and lessons learned. Robotics and Autonomous Systems, 75, 60–78. https://doi.org/10.1016/j.robot.2014.09.029 ( reposiTUm)

Fischinger, D., Weiss, A., & Vincze, M. (2015). Learning Grasps with Topographic Features. International Journal of Robotics Research, 3(234), 12–35. http://hdl.handle.net/20.500.12708/150570 ( reposiTUm)

Hofbaur, M., Müller, A., Piater, J., Rinner, B., Steinbauer, G., Vincze, M., & Wögerer, C. (2015). Making Better Robots – Beiträge Österreichs zur Europäischen Robotics Research Roadmap. Elektrotechnik Und Informationstechnik : E & i, 132(4–5), 237–248. https://doi.org/10.1007/s00502-015-0304-7 ( reposiTUm)

Wolf, D., Prankl, J., & Vincze, M. (2015). Enhancing Semantic Segmentation for Robotics: The Power of 3D Entangled Forests. IEEE Robotics and Automation Letters, 1(1), 49–56. https://doi.org/10.1109/lra.2015.2506118 ( reposiTUm)

Huber, A., Lammer, L., Weiss, A., & Vincze, M. (2014). Designing Adaptive Roles for Socially Assistive Robots: A New Method to Reduce Technological Determinism and Role Stereotypes. Journal of Human-Robot Interaction, 3(2), 100. https://doi.org/10.5898/jhri.3.2.huber ( reposiTUm)

Richtsfeld, A., Mörwald, T., Prankl, J., Zillich, M., & Vincze, M. (2014). Learning of perceptual grouping for object segmentation on RGB-D data. Journal of Visual Communication and Image Representation, 25(25), 64–73. http://hdl.handle.net/20.500.12708/155919 ( reposiTUm)

Schoberleitner, C., Archodoulaki, V.-M., Koch, T., Lüftl, S., Mateos, L. A., Vincze, M., Werderitsch, M., & Kuschnig, G. (2013). Development of a sealing material and robot for automatic socket rehabilitation of grey cast iron pipes in drinking water supply systems. Water Supply, 13(4), 924–931. https://doi.org/10.2166/ws.2013.058 ( reposiTUm)

Mörwald, T., Prankl, J., Zillich, M., & Vincze, M. (2013). Advances in real-time object tracking - Extensions for robust object tracking with a Monte Carlo particle filter. Journal of Real-Time Image Processing, 10(4), 683–697. https://doi.org/10.1007/s11554-013-0388-4 ( reposiTUm)

Zhou, K., Varadarajan, K. M., Zillich, M., & Vincze, M. (2013). Gaussian-Weighted Jensen-Shannon Divergence as A Robust Fitness Function for Multi-Model Fitting. Machine Vision and Applications, 24, ISSUE 6, SPRINGER PUBLISHERS, 2013(138), 1107–1119. http://hdl.handle.net/20.500.12708/154904 ( reposiTUm)

Prankl, J., Zillich, M., & Vincze, M. (2013). Interactive Object Modelling based on Piecewise Planar Surface Patches. Computer Vision and Image Understanding, 2013(10.1016/j.cviu.2013.01.010), 1–14. http://hdl.handle.net/20.500.12708/154788 ( reposiTUm)

Aldoma Buchaca, A., Marton, Z.-C., Tombari, F., Wohlkinger, W., Potthast, C., Zeisl, B., Rusu, R. B., Gedikli, S., & Vincze, M. (2012). Point Cloud Library Three-Dimensional Object Recognition and 6 DoF Pose Estimation. IEEE Robotics and Automation Magazine, 19(9), 80–91. http://hdl.handle.net/20.500.12708/165075 ( reposiTUm)

Körtner, T., Schmid, A., Batko-Klein, D., Gisinger, C., Huber, A., Lammer, L., & Vincze, M. (2012). How Social Robots Make Older Users Really Feel Well - A Method to Assess Users’ Concepts of a Social Robotic Assistant. Social Robotics, 138–147. https://doi.org/10.1007/978-3-642-34103-8_14 ( reposiTUm)

Schlemmer, M. J., & Vincze, M. (2012). Theoretic foundations of situating cognitive vision in robots and cognitive systems. Journal of Experimental and Theoretical Artificial Intelligence, 24(1), 109–137. https://doi.org/10.1080/13623079.2011.588252 ( reposiTUm)

Richtsfeld, M., & Vincze, M. (2012). Seam Following for Automated Industrial Fiber Mat Stitching. IEEE Transactions on Automation Science and Engineering, 9(2), 406–411. https://doi.org/10.1109/tase.2011.2175917 ( reposiTUm)

Vincze, M., Wohlkinger, W., Aldoma, A., Olufs, S., Einramhof, P., Zhou, K., Potapova, E., Fischinger, D., & Zillich, M. (2012). Situiertes Sehen für bessere Erkennung von Objekten und Objektklassen. Elektrotechnik Und Informationstechnik : E & i, 129(1), 42–52. https://doi.org/10.1007/s00502-012-0072-6 ( reposiTUm)

Humenberger, M., Zinner, C., Weber, M., Kubinger, W., & Vincze, M. (2010). A fast stereo matching algorithm suitable for embedded real-time systems. Computer Vision and Image Understanding, 114(11), 1180–1202. https://doi.org/10.1016/j.cviu.2010.03.012 ( reposiTUm)

Kragic, D., & Vincze, M. (2010). Vision for Robotics. Foundations and Trends in Robotics, 1(1), 1–78. https://doi.org/10.1561/2300000001 ( reposiTUm)

Biegelbauer, G., Vincze, M., & Wohlkinger, W. (2009). Model-based 3D object detection - Efficient approach using superquadrics. Machine Vision and Applications, 21(4), 497–516. https://doi.org/10.1007/s00138-008-0178-3 ( reposiTUm)

Vincze, M., Zillich, M., Ponweiser, W., Hlavac, V., Matas, J., Obdrzalek, S., Buxton, H., Howell, J., Sage, K., Argyros, A., Eberst, C., & Umgeher, G. (2008). Integrated Vision System for the Semantic Interpretation of Activities where a Person Handles Objects. Computer Vision and Image Understanding, 113(6), 682–692. https://doi.org/10.1016/j.cviu.2008.10.008 ( reposiTUm)

Vincze, M., Richtsfeld, M., & Biegelbauer, G. (2008). Lösungen zur Fertigung kleiner Stückzahlen in vielen Varianten. Elektrotechnik Und Informationstechnik, 125(1–2), 33–41. https://doi.org/10.1007/s00502-008-0498-z ( reposiTUm)

Vincze, M., Olufs, S., Einramhof, P., & Wildenauer, H. (2008). Roboternavigation in Büros und Wohnungen. Elektrotechnik Und Informationstechnik, 125(1–2), 25–32. https://doi.org/10.1007/s00502-008-0499-y ( reposiTUm)

Gemeiner, P., Einramhof, P., & Vincze, M. (2007). Simultaneous Motion and Structure Estimation by Fusion of Inertial and Vision Data. International Journal of Robotics Research, 26(6), 591–605. http://hdl.handle.net/20.500.12708/168479 ( reposiTUm)

Schlemmer, M., Biegelbauer, G., & Vincze, M. (2007). Rethinking Robot Vision - Combining Shape and Appearance. International Journal of Advanced Robotic Systems, 4(3), 259–270. http://hdl.handle.net/20.500.12708/168510 ( reposiTUm)

Armesto, L., Tornero, J., & Vincze, M. (2007). Fast Ego-Motion Estimation with Multi-rate Fusion of Inertial and Vision. International Journal of Robotics Research, 26(6), 577–591. http://hdl.handle.net/20.500.12708/168610 ( reposiTUm)

Vincze, M., Schlemmer, M., Gemeiner, P., & Ayromlou, M. (2005). Vision for Robotics - A Tool for Model-Based Object Tracking. IEEE Robotics and Automation Magazine, 12(4), 53–64. http://hdl.handle.net/20.500.12708/171829 ( reposiTUm)

Biegelbauer, G., Pichler, A., Vincze, M., Nielsen, C. L., Andersen, H., & Häusler, K. (2005). The Inverse Approach of Flex Paint - Automatic Generation of Robot Painting Motions for Unknown Parts. IEEE Robotics and Automation Magazine, 9, 24–34. http://hdl.handle.net/20.500.12708/171550 ( reposiTUm)

Ponweiser, W., Vincze, M., & Zillich, M. (2005). A software framework to integrate vision and reasoning components for Cognitive Vision Systems. Robotics and Autonomous Systems, 52, 101–114. http://hdl.handle.net/20.500.12708/171551 ( reposiTUm)

Vincze, M. (2005). On the Design and Structure of Artificial Eyes for Tracking Tasks. Journal of Advanced Computational Intelligence and Intelligent Informatics, 9(4), 353–360. http://hdl.handle.net/20.500.12708/171552 ( reposiTUm)

Beiträge in Tagungsbänden

Hönig, P., Thalhammer, S., Weibel, J.-B., Hirschmanner, M., & Vincze, M. (2025). Shape-Biased Texture Agnostic Representations for Improved Textureless and Metallic Object Detection and 6D Pose Estimation. In 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (pp. 8806–8815). IEEE Computer Society Conference Publishing Services. https://doi.org/10.1109/WACV61041.2025.00853 ( reposiTUm)

Reicher, M., & Markus, B. (2025). Multi Robot Route Planning for ROS2. In W. Kubinger, S. Kranzer, & M. Vincze (Eds.), Proceedings of the Austrian Robotics Workshop 2025 (pp. 115–116). Gesellschaft für Messtechnik, Automatisierung und Robotik – GMAR und Automatisierungs- und Regelungstechnik Institut der TU Wien. https://doi.org/10.34749/3061-0710.2025.19 ( reposiTUm)

Hirschmanner, M., Grabler, R., Frijns, H. A., Mayer-Haas, E., & Vincze, M. (2024). Prototype of a care documentation support system using audio recordings of care actions and large language models. In Human - Large Language Model Interaction. Workshop on Human Large Language Model Interaction (HRI 2024), Boulder, CO, United States of America (the). https://doi.org/10.34726/6399 ( reposiTUm)

Jäggle, G., Lepuschitz, W., Merdan, M., & Vincze, M. (2024). Enhancing Sustainability Product Development and Creativity in Education: The Impact of Educational Robotics and Design Thinking on Student Learning. In Towards a Hybrid, Flexible and Socially Engaged Higher Education : Proceedings of the 26th International Conference on Interactive Collaborative Learning (ICL2023), Volume 3 (pp. 391–402). Springer Cham. https://doi.org/10.1007/978-3-031-53022-7_39 ( reposiTUm)

Pratheepkumar, A., Ikeda, M., Hofmann, M., Widmoser, F., Pichler, A., & Vincze, M. (2024). NRDF - Neural Region Descriptor Fields as Implicit ROI Representation for Robotic 3D Surface Processing. In 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (pp. 12955–12962). https://doi.org/10.34726/8404 ( reposiTUm)

Pratheepkumar, A., Ikeda, M., Pichler, A., & Vincze, M. (2024). Towards Robotic 3D Surface Processing with Global Local Neural Region Descriptor Fields. In European Robotics Forum 2024 (pp. 218–223). Springer. https://doi.org/10.34726/8403 ( reposiTUm)

Ebmer, G., Loch, A., Vu, M. N., Mecca, R., Germain Haessig, Hartl-Nesic, C., Vincze, M., & Kugi, A. (2024). Real-time 6-DoF Pose Estimation by an Event-based Camera using Active LED Markers. In 2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (pp. 8122–8131). IEEE. https://doi.org/10.1109/WACV57701.2024.00795 ( reposiTUm)

Ausserlechner, P., Haberger, D., Thalhammer, S., Weibel, J.-B., & Vincze, M. (2024). ZS6D: Zero-shot 6D Object Pose Estimation using Vision Transformers. In 2024 IEEE International Conference on Robotics and Automation (ICRA) (pp. 463–469). https://doi.org/10.1109/ICRA57147.2024.10611464 ( reposiTUm)

Kasemi, R., Lammer, L., Thalhammer, S., & Vincze, M. (2024). EdgeSoil 2.0-Soil Analyzer Using Convolutional Neural Network and Camera Imaging for Agricultural Robotics. In 2024 IEEE International Conference on Robotics and Automation (ICRA) (pp. 15825–15831). https://doi.org/10.34726/8405 ( reposiTUm)

Röhrl, K., Bauer, D., Patten, T. M., & Vincze, M. (2023). TrackAgent: 6D Object Tracking via Reinforcement Learning. In Computer Vision Systems: 14th International Conference, ICVS 2023, Vienna, Austria, September 27–29, 2023, Proceedings (pp. 323–335). https://doi.org/10.1007/978-3-031-44137-0_27 ( reposiTUm)

Suchi, M., Neuberger, B., Salykov, A., Weibel, J.-B., Patten, T., & Vincze, M. (2023). 3D-DAT: 3D-Dataset Annotation Toolkit for Robotic Vision. In 2023 IEEE International Conference on Robotics and Automation (ICRA) (pp. 9162–9168). IEEE. https://doi.org/10.34726/5387 ( reposiTUm)

Feigl, P., Weibel, J.-B. N., & Vincze, M. (2023). Autonomous In-hand Object Modeling from a Mobile Manipulator. In A. Müller, M. Nader, & H. Gattringer (Eds.), Proceedingsof the Austrian Robotics Workshop 2023 (pp. 80–85). https://doi.org/10.34726/5356 ( reposiTUm)

Weibel, J.-B., Sebeto, P., Thalhammer, S., & Vincze, M. (2023). Challenges of Depth Estimation for Transparent Objects. In G. Bebis, G. Ghiasi, Y. Fang, A. Sharf, Y. Dong, C. Weaver, Z. Leo, J. J. LaViola Jr., & L. Kohli (Eds.), Advances in Visual Computing : 18th International Symposium, ISVC 2023, Lake Tahoe, NV, USA, October 16–18, 2023. Proceedings, Part I (pp. 277–288). Springer. https://doi.org/10.34726/5311 ( reposiTUm)

Thalhammer, S., Patten, T., & Vincze, M. (2023). COPE: End-to-end trainable Constant Runtime Object Pose Estimation. In Proceedings 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (pp. 2859–2869). https://doi.org/10.1109/WACV56688.2023.00288 ( reposiTUm)

Kasemi, R., Vincze, M., & Lammer, L. (2023). Edgesoil:Low-Cost Soil Sensor and Edge AI Fusion in Agricultural Robotics. In A. Müller, M. Nader, & H. Gattringer (Eds.), Proceedings of the Austrian Robotics Workshop 2023 (pp. 42–46). https://doi.org/10.34726/5355 ( reposiTUm)

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Mateos, L. A., & Vincze, M. (2011). Developing Water Loss Prevention - DeWaLoP - Robot Vision System. In Proc. of the 2011 World Congress on Engineering and Technology (CET 2011) (p. 4). http://hdl.handle.net/20.500.12708/72287 ( reposiTUm)

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Olufs, S., & Vincze, M. (2011). Real time Manhattan-like Structure segmentation from Kinect with constrained 1D CC-RANSAC. In Proc. of the 9th IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR) 2011 (p. 6). http://hdl.handle.net/20.500.12708/72263 ( reposiTUm)

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Zhou, K., Richtsfeld, A., Varadarajan, K. M., Zillich, M., & Vincze, M. (2011). Accurate Plane Estimation Within A Holistic Probabilistic Framework. In Proc. of the Austrian Association for Pattern Recognition (OAGM/AAPR) Workshop 2011 (ÖAGM2011) (p. 8). http://hdl.handle.net/20.500.12708/72175 ( reposiTUm)

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Bader, M., & Vincze, M. (2011). A Visual Servo Control Overhead Crane. In Proceedings of the Austrian Robotics Workshop (ARW-11) (p. 3). http://hdl.handle.net/20.500.12708/72537 ( reposiTUm)

Bader, M., & Vincze, M. (2011). A Polymorph Particle Filter for State Estimation used by a Visual Observer. In Proceedings of the RAAD 2011 20th International Workshop on Robotics in Alpe-Adria-Danube Region (p. 6). http://hdl.handle.net/20.500.12708/72538 ( reposiTUm)

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Schlemmer, M., Biegelbauer, G., & Vincze, M. (2006). Combining Learning, Detecting and Tracking. In Digital Imaging and Pattern Recognition (pp. 123–131). Austrian Computer Society. http://hdl.handle.net/20.500.12708/69183 ( reposiTUm)

Ponweiser, W., & Vincze, M. (2006). Robust Handling of Multiple Multi-Objective Optimisations. In eScience2006 (p. 7). IEEE CS Press. http://hdl.handle.net/20.500.12708/69269 ( reposiTUm)

Schlemmer, M., Biegelbauer, G., & Vincze, M. (2006). An Integration Concept for Vision-Based Object Handling: Shape-Capture, Detection and Tracking. In Z. Nanning, X. Jiang, & L. Xuguang (Eds.), Advances in Machine Vision, Image Processing, and Pattern Analysis (pp. 215–224). Springer Verlag (http://www.springerlink.com/content/646g50v264kh681v/fulltext.pdf). https://doi.org/10.1007/11821045_23 ( reposiTUm)

Biegelbauer, G., Schlemmer, M., & Vincze, M. (2006). Learning the Object Model for Automatic Detection and Tracking for Robot Grasping. In SYROCO 2006 (p. 6). http://hdl.handle.net/20.500.12708/69272 ( reposiTUm)

Beleznai, C., Frühstück, B., Bischof, H., & Kropatsch, W. (2005). Model-Based Occlusion Handling for Tracking in Crowded scenes. In D. Chetverikov, L. Czuni, & M. Vincze (Eds.), Joint Hungarian-Austrian Conference on Image Processing and Pattern Recognition (pp. 227–234). OCG Schriftenreihe, Österreichische Arbeitsgemeinschaft für Mustererkennung. http://hdl.handle.net/20.500.12708/51286 ( reposiTUm)

Wildenauer, H., Aguilera Antequera, J., & Kampel, M. (2005). An Evaluation of Error Metrics for the Segmentation of Moving Objects on an Airport’s Apron. In D. Chetverikov, L. Czuni, & M. Vincze (Eds.), In Proc. of the Joint Hungarian-Austrian Conference on Image Processing and Pattern Recognition (pp. 119–126). OCG Schriftenreihe, Österreichische Arbeitsgemeinschaft für Mustererkennung. http://hdl.handle.net/20.500.12708/51299 ( reposiTUm)

Göbel, P., & Belbachir, A. N. (2005). An Application Analysis Approach For Noise Estimation in Panoramic X-Ray Images. In D. Chetverikov, L. Czuni, & M. Vincze (Eds.), Proc. of Joint Hungarian-Austrian Conference on Image Processing and Pattern Recognition (pp. 203–210). OCG Schriftenreihe, Österreichische Arbeitsgemeinschaft für Mustererkennung. http://hdl.handle.net/20.500.12708/51317 ( reposiTUm)

Zollner, H. (2005). A Method for Determining Geometrical Distortions of Off-the-shelf Wide-Angle Cameras. In D. Chetverikov, L. Czuni, & M. Vincze (Eds.), Proc. of Joint Hungarian-Austrian Conference on Image Processing and Pattern Recognition (pp. 367–372). OCG Schriftenreihe, Österreichische Arbeitsgemeinschaft für Mustererkennung. http://hdl.handle.net/20.500.12708/51327 ( reposiTUm)

Lettner, M., & Sablatnig, R. (2005). Texture Beased Drawing Tool Classification. In D. Chetverikov, L. Czuni, & M. Vincze (Eds.), 29th Workshop ot the Austrian Association for Pattern Recognition (pp. 171–178). OCG Schriftenreihe, Österreichische Arbeitsgemeinschaft für Mustererkennung. http://hdl.handle.net/20.500.12708/51291 ( reposiTUm)

Donner, R., Langs, G., Reiter, A., & Bischof, H. (2005). Fast Active Appearance Model Search based on CCA and its application to hand radiographs. In D. Chetverikov, L. Czuni, & M. Vincze (Eds.), Proceedings of the Joint Hungarian-Austrian Conference on Image Processing and Pattern Recognition} (pp. 49–56). OCG Schriftenreihe, Österreichische Arbeitsgemeinschaft für Mustererkennung. http://hdl.handle.net/20.500.12708/51330 ( reposiTUm)

Biegelbauer, G., & Vincze, M. (2005). Fast and Robust 3D Object Detection using a Simplified Superquadric Model Description. In Optical 3-D Measurement Techniques VII (pp. 223–231). http://hdl.handle.net/20.500.12708/68761 ( reposiTUm)

Biegelbauer, G., & Vincze, M. (2005). Real Time 3D Object Detection Using a Simplified Superquadric Model Description. In Joint Hungarian-Austrian Conference on Image Processing and Pattern Recognition (pp. 25–32). http://hdl.handle.net/20.500.12708/68764 ( reposiTUm)

Gemeiner, P., & Vincze, M. (2005). Simultaneous Motion and Structure Estimation by Fusion of Inertial and Vision Data with High Speed CMOS Camera. In Proceedings CD Workshop on 2nd Inervis: Integration of Vision and Inertial Sensors. ICRA05 Barcelona, Spain, Austria. http://hdl.handle.net/20.500.12708/68785 ( reposiTUm)

Schlemmer, M., & Vincze, M. (2005). Texture Edge Detection Using Statistical Feature Matrices. In Joint Hungarian-Austrian Conference on Image Processing and Pattern Recognition (pp. 335–342). http://hdl.handle.net/20.500.12708/68765 ( reposiTUm)

Biegelbauer, G., & Vincze, M. (2005). Fast 3D Object Detection Using an Approximated Geometric Model. In EOS Conference on Industrial Imaging and Machine VIsion (pp. 58–61). http://hdl.handle.net/20.500.12708/68762 ( reposiTUm)

Vogl, M. A., Vincze, M., & Biegelbauer, G. (2005). Finding Tables for Home Service Tasks and Safe Mobile Robot Navigation. In Proceedings 2005 IEEE International Conference on Robotics and Automation. IEEE International Conference on Robotics & Automation, Barcelona, Spain, Austria. http://hdl.handle.net/20.500.12708/68797 ( reposiTUm)

Gemeiner, P., & Vincze, M. (2005). Motion and Structure Estimation from Vision and Inertial Sensor Data with High Speed CMOS Camera. In Proceedings 2005 IEEE International Conference on Robotics and Automation. IEEE International Conference on Robotics and Automation 2005, Barcelona, Spain, Austria. http://hdl.handle.net/20.500.12708/68800 ( reposiTUm)

Haxhimusa, Y., Ion, A., Kropatsch, W., & Brun, L. (2005). Hierarchical Image Partitioning using Combinatorial Maps. In D. Chetverikov, L. Czuni, & M. Vincze (Eds.), Hierarchical Image Partitioning using Combinatorial Maps (pp. 179–186). OCG Schriftenreihe, Österreichische Arbeitsgemeinschaft für Mustererkennung. http://hdl.handle.net/20.500.12708/51285 ( reposiTUm)

Vincze, M., Ayromlou, M., Zillich, M., Ponweiser, W., & Legenstein, D. (2001). RobVision - Robust Visual Sensing to Navigate a Robot into a Ship Structure. In Proceedings Volume of RAAD ’01 (pp. 1–6). http://hdl.handle.net/20.500.12708/68336 ( reposiTUm)

Vincze, M. (2000). Comparison of Prediction Methods for Vision-based Control of Motion. In T. Konegger (Ed.), SYROCO ’00 - Reprints Volume II (pp. 693–698). http://hdl.handle.net/20.500.12708/68360 ( reposiTUm)

Vincze, M., & Weiman, C. (1997). On Optimising Window Size for Visual Servoing. In Proceedings of the 1997 IEEE Int. Conf. on Robotics and Automation (pp. 2856–2861). http://hdl.handle.net/20.500.12708/68316 ( reposiTUm)

Beiträge in Büchern

Stoeva, D., & Gelautz, M. (2022). Design, Requirements, and Challenges of a Human-Robot Imitation System. In S. T. Köszegi & M. Vincze (Eds.), Trust in Robots (pp. 107–127). TU Wien Academic Press. https://doi.org/10.34727/2022/isbn.978-3-85448-052-5_5 ( reposiTUm)

Bauer, D., Patten, T. M., & Vincze, M. (2022). Visual and Physical Plausibility of Object Poses for Robotic Scene Understanding. In S. T. Köszegi & M. Vincze (Eds.), Trust in Robots (pp. 81–103). TU Wien Academic Press. https://doi.org/10.34727/2022/isbn.978-3-85448-052-5_4 ( reposiTUm)

Beck, F., & Kugi, A. (2022). Motion Planning for Human-Robot Collaboration. In S. T. Köszegi & M. Vincze (Eds.), Trust in Robots (pp. 129–147). TU Wien Academic Press. https://doi.org/10.34727/2022/isbn.978-3-85448-052-5_6 ( reposiTUm)

Frijns, H. A., & Schürer, O. (2022). Design as a Practice in Human-Robot Interaction Research. In S. T. Köszegi & M. Vincze (Eds.), Trust in Robots (pp. 3–29). TU Wien Academic Press. https://doi.org/10.34727/2022/isbn.978-3-85448-052-5_1 ( reposiTUm)

Schmidbauer, C., & Schlund, S. (2022). Adaptive Task Sharing between Humans and Collaborative Robots in a Manufacturing Environment. In S. T. Köszegi & M. Vincze (Eds.), Trust in Robots (pp. 245–261). TU Wien Academic Press. https://doi.org/10.34727/2022/isbn.978-3-85448-052-5_11 ( reposiTUm)

Hannibal, G., & Weiss, A. (2022). Exploring the Situated Vulnerabilities of Robots for Interpersonal Trust in Human-Robot Interaction. In S. T. Köszegi & M. Vincze (Eds.), Trust in Robots (pp. 33–56). TU Wien Academic Press. https://doi.org/10.34727/2022/isbn.978-3-85448-052-5_2 ( reposiTUm)

Schwaninger, I., Weiss, A., & Fitzpatrick, G. (2022). Bottom-Up Research on Assistive Robots for the Aging Population. In S. T. Köszegi & M. Vincze (Eds.), Trust in Robots (pp. 203–228). TU Wien Academic Press. https://doi.org/10.34727/2022/isbn.978-3-85448-052-5_9 ( reposiTUm)

Papagni, G., & Köszegi, S. T. (2022). Challenges and solutions for trustworthy explainable robots. In S. T. Köszegi & M. Vincze (Eds.), Trust in Robots (pp. 57–79). TU Wien Academic Press. https://doi.org/10.34727/2022/isbn.978-3-85448-052-5_3 ( reposiTUm)

Koller, M., Weiss, A., & Vincze, M. (2022). I See What You Did There: Towards a Gaze Mechanism for Joint Actions in Human-Robot Interaction. In S. T. Köszegi & M. Vincze (Eds.), Trust in Robots (pp. 149–177). TU Wien Academic Press. https://doi.org/10.34727/2022/isbn.978-3-85448-052-5_7 ( reposiTUm)

De Pagter, J. (2022). Building trust in robots: A narrative approach. In S. T. Köszegi & M. Vincze (Eds.), Trust in Robots (pp. 265–288). TU Wien Academic Press. https://doi.org/10.34727/2022/isbn.978-3-85448-052-5_12 ( reposiTUm)

Zafari, S., & Köszegi, S. T. (2022). Agency in Sociotechnical Systems: How to Enact Human–Robot Collaboration. In S. T. Köszegi & M. Vincze (Eds.), Trust in Robots (pp. 229–244). TU Wien Academic Press. https://doi.org/10.34727/2022/isbn.978-3-85448-052-5_10 ( reposiTUm)

Hirschmanner, M., & Vincze, M. (2022). Robot Learning from Humans in Everyday Life Scenarios. In S. T. Köszegi & M. Vincze (Eds.), Trust in Robots (pp. 179–199). TU Wien Academic Press. https://doi.org/10.34727/2022/isbn.978-3-85448-052-5_8 ( reposiTUm)

Jäggle, G., & Vincze, M. (2021). A Conceptual Framework for Educational Robotics Activities C4STEM. In Handbook of Research on Using Educational Robotics to Facilitate Student Learning (pp. 274–298). IGI Global. https://doi.org/10.4018/978-1-7998-6717-3.ch011 ( reposiTUm)

Alexandrov, S., Patten, T., & Vincze, M. (2019). Leveraging Symmetries to Improve Object Detection and Pose Estimation from Range Data. In Computer Vision Systems (pp. 397–407). Springer International Publishing. http://hdl.handle.net/20.500.12708/30192 ( reposiTUm)

Bauer, D., Patten, T., & Vincze, M. (2019). Monte Carlo Tree Search on Directed Acyclic Graphs for Object Pose Verification. In Computer Vision Systems (pp. 386–396). Springer International Publishing. https://doi.org/10.1007/978-3-030-34995-0_35 ( reposiTUm)

Vincze, M., Bajones, M., Suchi, M., Wolf, D., Lammer, L., Weiss, A., & Fischinger, D. (2018). User Experience Results of Setting Free a Service Robot for Older Adults at Home. In Service Robots. Intech Open Access Publisher. https://doi.org/10.5772/intechopen.70453 ( reposiTUm)

Vincze, M., Wachsmuth, S., & Sagerer, G. (2014). Perception and Computer Vision. In The Cambridge Handbook of Artificial Intelligence (pp. 168–246). Cambridge University Press. http://hdl.handle.net/20.500.12708/28695 ( reposiTUm)

Richtsfeld, M., & Vincze, M. (2011). Robotic Grasping of Unknown Objects. In S. Goto (Ed.), Robot Arms (p. 16). INTECH. http://hdl.handle.net/20.500.12708/27220 ( reposiTUm)

Schlemmer, M., & Vincze, M. (2009). A Functional View on “Cognitive” Perceptual Systems Based on Functions and Principles of the Human Mind. In D. Dietrich, G. Fodor, G. Zucker, & D. Bruckner (Eds.), Simulating the Mind (pp. 302–319). Springer-Verlag, Wien - New York. http://hdl.handle.net/20.500.12708/26180 ( reposiTUm)

Richtsfeld, M., & Vincze, M. (2009). Robotic Grasping of Unknown Objects. In A. D. Rodic (Ed.), Contemporary Robotics, Challenges and Solutions (p. 15). In-Tech Education and Publishing. http://hdl.handle.net/20.500.12708/27222 ( reposiTUm)

Vincze, M., Zillich, M., & Ponweiser, W. (2006). A Framework for Cognitive Vision Systems or Identifying Obstacles to Integration. In Cognitive Vision Systems (pp. 279–293). Springer. http://hdl.handle.net/20.500.12708/25017 ( reposiTUm)

Bücher

Köszegi, S. T., & Vincze, M. (Eds.). (2022). Trust in Robots. TU Wien Academic Press. https://doi.org/10.34727/2022/isbn.978-3-85448-052-5 ( reposiTUm)

Tagungsbände

Ponweiser, W., Vincze, M., & Beleznai, C. (Eds.). (2007). Performance Evaluation for Computer Vision; Proceedings of 31st AAPR/OAGM Workshop 2007. Österreichische Computergesellschaft. http://hdl.handle.net/20.500.12708/22126 ( reposiTUm)

Präsentationen

Hirschmanner, M., Grabler, R., Frijns, H. A., Mayer-Haas, E., & Vincze, M. (2024, March 11). Prototype of a Care Documentation Support System Using Audio Recordings of Care Actions and Large Language Models [Conference Presentation]. Workshop on Human Large Language Model Interaction (HRI 2024), Boulder, CO, United States of America (the). http://hdl.handle.net/20.500.12708/199437 ( reposiTUm)

Sebeto, P., Weibel, J.-B. N., Thalhammer, S., Hartl-Nesic, C., & Vincze, M. (2024, February 16). Monocular Depth-guided Cost Volume Refinement for Semantic Correspondences [Conference Presentation]. 27th Computer Vision Winter Workshop, Slovenia. http://hdl.handle.net/20.500.12708/196145 ( reposiTUm)

Rudorfer, M., Suchi, M., Sridharan, M., Vincze, M., & Leonardis, A. (2023, January 13). BURG-Toolkit: Robot Grasping Experiments in Simulation and the Real World [Poster Presentation]. 4th UK Robot Manipulation Workshop, Bristol, United Kingdom of Great Britain and Northern Ireland (the). https://doi.org/10.34726/5453 ( reposiTUm)

Vincze, M. (2022, April 27). Robot Object Detection and Grasping for Service Robots [Keynote Presentation]. RoboCoop Lecture Exchange, Slovakia. ( reposiTUm)

Vincze, M. (2022, September 28). Object Perception & Manipulation: Where Do We Stand? [Keynote Presentation]. ISRR – Int. Symposium on Robotics Research, Geneva, Switzerland. http://hdl.handle.net/20.500.12708/152773 ( reposiTUm)

Vincze, M. (2022, June 29). AICoR - AI and Cognitive Robotics [Keynote Presentation]. European Robotics Forum - ERF 2022 Rotterdam, Rotterdam, Netherlands (the). ( reposiTUm)

Vincze, M. (2022, June 28). Towards Detecting and Grasping Transparent Objects [Keynote Presentation]. European Robotics Forum - Rotterdam, Rotterdam, Netherlands (the). ( reposiTUm)

Vincze, M. (2022, April 27). Robot Vision for Tidy-up [Keynote Presentation]. European Conference on Educational Robotics 2022, Bratislava, Slovakia. ( reposiTUm)

Vincze, M. (2022, October 5). Towards Seeing and Manipulating Transparent Objects [Keynote Presentation]. Robotics Lab Opening, Bremen, Germany. ( reposiTUm)

Papagni, G., Bauer, D., Köszegi, S. T., & Vincze, M. (2021). A Study Design for Evaluation of Trust and Understandability through Interactive Multi-Modal Explanations of Robotic Failure. ACM/IEEE International Conference on Human-Robot Interaction (HRI 2021), virtuell, Austria. http://hdl.handle.net/20.500.12708/77423 ( reposiTUm)

Koller, M., Patten, T., & Vincze, M. (2020). Plan Recognition from Object Detection Traces. AAAI 2020 Workshop, New York, United States of America (the). http://hdl.handle.net/20.500.12708/91299 ( reposiTUm)

Vincze, M. (2020). Robot Object Detection, Pose Estimation, and Grasping. Vortrag KIT - Karlsruhe Institute of Tecnhology, Karlsruhe, Germany. http://hdl.handle.net/20.500.12708/91301 ( reposiTUm)

Vincze, M. (2018). Robotik in der Pflege. 15. Österreichischer Kongress für Führungskräfte in der Altenarbeit, Schladming, Austria. http://hdl.handle.net/20.500.12708/91117 ( reposiTUm)

Vincze, M. (2018). V4R Vision for Robotics and HOBBIT. Informal EMCO Meeting, Austria Center Vienna, Austria. http://hdl.handle.net/20.500.12708/91118 ( reposiTUm)

Vincze, M. (2018). Robot Vision for the Care Robot HOBBIT Digitalisierung und Roboterisierung. Informelle Tagung der Ministerinnen und Minister für Beschäftigung und Sozialpolitik, Austria Center Vienna ACV, Austria. http://hdl.handle.net/20.500.12708/91119 ( reposiTUm)

Vincze, M. (2018). Robots as Helpers: International Expert-Conference on Human Rights of older Persons. ICHRoP2018, Wien, Austria. http://hdl.handle.net/20.500.12708/91112 ( reposiTUm)

Vincze, M. (2018). Robots at Home: the Gap between User Needs and Robot Capabilities. IROS 2018 Workshop on Assistance and Service Robotics in a Human Environment, Madrid, Spain. http://hdl.handle.net/20.500.12708/91113 ( reposiTUm)

Vincze, M., & Chen, L. (2018). Visual Perception of Many Objects for Robots at Home. De Montfort University, Leicester, United Kingdom of Great Britain and Northern Ireland (the). http://hdl.handle.net/20.500.12708/90955 ( reposiTUm)

Vincze, M. (2018). Object Modelling and Recognition with Robots. International Summer School on Artificial Intelligence, Udine, Italy. http://hdl.handle.net/20.500.12708/91120 ( reposiTUm)

Vincze, M., & Sanz, P. (2018). Robot Vision (Part 1) EMARO. Universitat Jaume I, Castellon de la Plana, Spain. http://hdl.handle.net/20.500.12708/91123 ( reposiTUm)

Vincze, M., & Sanz, P. (2018). Robot Vision (Part 2) EMARO. Universitat Jaume I, Castellon de la Plana, Spain. http://hdl.handle.net/20.500.12708/91124 ( reposiTUm)

Vincze, M. (2018). Vision for Robotics (Part 2). EASE Fall School, Bremen, Germany. http://hdl.handle.net/20.500.12708/91115 ( reposiTUm)

Vincze, M. (2018). Vision for Robotics (Part 1). EASE Fall School, Bremen, Germany. http://hdl.handle.net/20.500.12708/91114 ( reposiTUm)

Vincze, M., & Kanda, T. (2018). New Methods in Vision for Robotics. Kyoto University, Kyoto, Japan. http://hdl.handle.net/20.500.12708/91121 ( reposiTUm)

Vincze, M., & Konishi, Y. (2018). Vision for Robotics OMRON. Kyoto University, Kyoto, Japan. http://hdl.handle.net/20.500.12708/91122 ( reposiTUm)

Vincze, M. (2017). Transformation: Robotik. The Digital Enterprise, Wien, Austria. http://hdl.handle.net/20.500.12708/91116 ( reposiTUm)

Vincze, M. (2017). Cognition-enabled Perception. Universität Bremen, Bremen, Germany. http://hdl.handle.net/20.500.12708/90956 ( reposiTUm)

Vincze, M., Hanheide, M., & Duckett, T. (2017). Modelling and Detecting Objects for Home Robots. University of Lincoln, Lincoln, United Kingdom of Great Britain and Northern Ireland (the). http://hdl.handle.net/20.500.12708/90954 ( reposiTUm)

Vincze, M. (2016). Object Modelling, Recognition and Tracking. GMAR Winter School, Graz, Austria. http://hdl.handle.net/20.500.12708/90870 ( reposiTUm)

Vincze, M. (2016). Roboter - Vielfalt und Chancen. Vortrag im Rahmen des RoboFit Projektes, Wien, Austria. http://hdl.handle.net/20.500.12708/90860 ( reposiTUm)

Vincze, M. (2016). Roboter - Vielfalt und Chancen. Vortrag im Rahmen des RoboFit Projektes, Wien, Austria. http://hdl.handle.net/20.500.12708/90859 ( reposiTUm)

Vincze, M. (2016). Moral und Maschine: Chancen und Grenzen des digitalen Wandels. Expertenforum Linz, Linz, Austria. http://hdl.handle.net/20.500.12708/90864 ( reposiTUm)

Vincze, M. (2016). Contributions to the Future of Robotics. Technologiegespräche Realities and Futures of Robotics, Alpbach, Austria. http://hdl.handle.net/20.500.12708/90862 ( reposiTUm)

Vincze, M. (2016). Roboter - Vielfalt und Chancen. Vortrag im Rahmen des RoboFit Projektes, Wien, Austria. http://hdl.handle.net/20.500.12708/90861 ( reposiTUm)

Vincze, M. (2016). Roboter - Potential und Trends. Wirtschaftskammer Wien, Fachgruppe Unternehmensberatung, Buchhaltung und Informationstechnologie, Wien, Austria. http://hdl.handle.net/20.500.12708/90867 ( reposiTUm)

Vincze, M. (2016). Human and Robot Object Grasping. Workshop Linking Language to Motor Schemas, Wien, Austria. http://hdl.handle.net/20.500.12708/90865 ( reposiTUm)

Vincze, M. (2016). Was Roboter noch lernen müssen. Monat der freien Bildung, Wien, Austria. http://hdl.handle.net/20.500.12708/90866 ( reposiTUm)

Vincze, M. (2016). Roboter lernen sehen. Lange Nacht der Roboter, Wien, Austria. http://hdl.handle.net/20.500.12708/90858 ( reposiTUm)

Vincze, M. (2016). Smart Home / Active Assisted Living: Wie Technik den Alltag erleichtert. Digital Business Trends (DBT) und APA- Austria Presse Agentur, Haus der Musik, Wien, Austria. http://hdl.handle.net/20.500.12708/90869 ( reposiTUm)

Vincze, M. (2016). Robot and Computer Vision. International Workshop “Connecting the Dots”, HEPHY Vienna, Wien, Austria. http://hdl.handle.net/20.500.12708/90868 ( reposiTUm)

Vincze, M. (2016). Robots in User Homes - First Findings from a case study. Jornadas de Automatica, Madrid, Spain. http://hdl.handle.net/20.500.12708/90863 ( reposiTUm)

Vincze, M. (2016). Open Software Libraries and Systems for Robot Perception. 29. Bremer Universitäts Gespräche, Bremen, Germany. http://hdl.handle.net/20.500.12708/90778 ( reposiTUm)

Vincze, M. (2015). Situated Object Detection: Attending to and Modelling Objects. Universität Bielefeld, Prof. Helge Ritter, Bielefeld, Germany. http://hdl.handle.net/20.500.12708/90502 ( reposiTUm)

Vincze, M. (2014). Robots learn to See. TGM Vienna, Technology Meeting, Wien, Austria. http://hdl.handle.net/20.500.12708/90378 ( reposiTUm)

Vincze, M. (2014). Embodied Object Recognition for Service Robotics. Brno University of Technology, Austria. http://hdl.handle.net/20.500.12708/90379 ( reposiTUm)

Vincze, M. (2014). Advanced and Service Robotics. Academia Superior Forum Informations und Kommunikationstechnologien, Linz, Austria. http://hdl.handle.net/20.500.12708/90381 ( reposiTUm)

Vincze, M. (2014). Situated Object Recognition and Grasping Invited. City University of Hong Kong, Hong Kong, Non-EU. http://hdl.handle.net/20.500.12708/90232 ( reposiTUm)

Vincze, M. (2014). Exploring the Next Generation of Eductional Robots and Examples of Situated Robot Vision. APAC Innovation Summit, Hong Kong, Non-EU. http://hdl.handle.net/20.500.12708/90233 ( reposiTUm)

Vincze, M. (2014). Situated Object Attention: Recognition and Grasping. Vortrag DLR - Deutsche Luft- und Raumfahrt, Prof. Alin Albu-Schäffer, Köln, Germany. http://hdl.handle.net/20.500.12708/89715 ( reposiTUm)

Vincze, M. (2014). Embodied Object Recognition. The 9th International Workshop on Cognitive Robotics (CogRob 2014), Prag, Czechia. http://hdl.handle.net/20.500.12708/90380 ( reposiTUm)

Vincze, M. (2013). Do We Need Models to Develop Robot Vision? Dagstuhl-Workshop: Mechanisms of Ongoing Development in Cognitive Robotics, Schloss Dagstuhl Leibniz-Zentrum für Informatik, Wadern, Germany, EU. http://hdl.handle.net/20.500.12708/90028 ( reposiTUm)

Vincze, M. (2013). Making Robots See. Nao Tech Day, Paris, EU. http://hdl.handle.net/20.500.12708/90103 ( reposiTUm)

Vincze, M. (2013). HOBBIT - Towards a Robot for Aging Wells. ICRA 2013, IEEE International Conference on Robotics and Automation, Karlsruhe, EU. http://hdl.handle.net/20.500.12708/90099 ( reposiTUm)

Aldoma Buchaca, A., Wohlkinger, W., Tombari, F., Rusu, R. B., & Vincze, M. (2012). 3D Object Recognition and Categorization. IEEE International Conference on Robotics and Automation (ICRA) Workshop on Semantic Perception, Mapping and Exploration (SPME), St. Paul, Minnesota, USA, Non-EU. http://hdl.handle.net/20.500.12708/90093 ( reposiTUm)

Einramhof, P., Schwarz, R., & Vincze, M. (2011). Range Image Segmentation for Object-based Attention in the Context of Service Robotics. Rovereto Attention Workshop (RAW), Rovereto, Italy, EU. http://hdl.handle.net/20.500.12708/89578 ( reposiTUm)

Vincze, M., Ponweiser, W., Zillich, M., & Ayromlou, M. (2004). A Component-based Approach to Activity Interpretation. European Conference on Computer Vision 2004, Prag, Czechia. http://hdl.handle.net/20.500.12708/88245 ( reposiTUm)

Vincze, M. (1999). Optimal Image Processing Architecture for Active Vision Systems. DIST, Genf, Austria. http://hdl.handle.net/20.500.12708/87485 ( reposiTUm)

Vincze, M. (1999). Vision for Robotics: Optimal Dynamic Performance and Robust Edge Tracking. International Semiconductor Conference CAS, Sinaia, Non-EU. http://hdl.handle.net/20.500.12708/87487 ( reposiTUm)

Vincze, M. (1998). Robust Feature Tracking to Control Robot Motions. ECCV European Conference on Computer Vision, Firenze , Italy, EU. http://hdl.handle.net/20.500.12708/87484 ( reposiTUm)

Vincze, M., & Spiess, S. (1998). Matlab für Rapid Prototyping von Algorithmen. Seminar über Modellbildung und Simulation, TU Wien, Austria. http://hdl.handle.net/20.500.12708/87483 ( reposiTUm)

Berichte

Bader, M., Hofmann, A., Knoop, J., Schreiner, D., & Vincze, M. (2012). Austrian-Kangaroos 2012 Team Qualification Document (TQD). http://hdl.handle.net/20.500.12708/37233 ( reposiTUm)

Schreiner, D., Hofmann, A., Knoop, J., Miller, B., Bader, M., & Vincze, M. (2011). Austrian-Kangaroos 2011 Team Qualification Document (TQD). http://hdl.handle.net/20.500.12708/37232 ( reposiTUm)

Szumilas, L., Richtsfeld, M., Pascual-Garcia-Tubio, M., Lefakis, L., & Vincze, M. (2009). Integrating components for synthesis merging predicted, pre- reasoning, pre-attention, and visual attention. http://hdl.handle.net/20.500.12708/35609 ( reposiTUm)

Vincze, M., Schlemmer, M., Prankl, J., Richtsfeld, A., Bader, M., & Gemeiner, P. (2009). XPERO - Learning by Experimentation: Deliverable 3.3 Evaluation of methodology for self-supervised observation. http://hdl.handle.net/20.500.12708/35763 ( reposiTUm)

Szumilas, L., Wildenauer, H., Wohlkinger, W., Shiwon, J., & Vincze, M. (2009). robots@home - An Open Plattform for Home Robotics: Deliverable 3.2 Object Detection in a Home Environment. http://hdl.handle.net/20.500.12708/35759 ( reposiTUm)

Szumilas, L., Vincze, M., & Richtsfeld, M. (2009). GRASP: Deliverable 6 - Integrating components for synthesis merging predicted, prereasoning, pre-attention, and visual attention. http://hdl.handle.net/20.500.12708/35760 ( reposiTUm)

Zillich, M., Vincze, M., Mörwald, T., Richtsfeld, A., Zhou, K., Bekiroglu, Y., & Kopicki, M. (2009). CogX : Deliverable 2.1 - Representations of 3D shape for manipulation. http://hdl.handle.net/20.500.12708/35764 ( reposiTUm)

Vincze, M., Tomatis, N., Henseler, P., Tessier, M., Jarisch, C., & Brendel, T. (2007). Initial Set of Home Robot Specifications. http://hdl.handle.net/20.500.12708/31506 ( reposiTUm)

Schlemmer, M., Gemeiner, P., Prankl, J., & Vincze, M. (2007). Initial perception modules to extract features for the first set of experiments. http://hdl.handle.net/20.500.12708/31507 ( reposiTUm)

Einramhof, P., Kronreif, G., & Vincze, M. (2007). Sensor System Prototype. http://hdl.handle.net/20.500.12708/31510 ( reposiTUm)

Richtsfeld, M., Biegelbauer, G., & Vincze, M. (2006). REDUX- Sonderrecherche: OST versus Falldorf Sensor. http://hdl.handle.net/20.500.12708/31511 ( reposiTUm)

Einramhof, P., Kronreif, G., & Vincze, M. (2006). Localisation and Navigation Framework. http://hdl.handle.net/20.500.12708/31509 ( reposiTUm)

Einramhof, P., Kronreif, G., & Vincze, M. (2005). Concept for practicable “low-cost” sensor systems. http://hdl.handle.net/20.500.12708/31508 ( reposiTUm)

Vincze, M. (1997). Dynamic Performance of Visual Tracking, INFA-Technical Report 03/97. http://hdl.handle.net/20.500.12708/31083 ( reposiTUm)

Vincze, M., Spiess, S., Parotidis, M., Filz, K., & Krautgartner, P. (1996). Automatic Generation of Non Geometric Errors of Robots. INFA-Technical Report 01/96. http://hdl.handle.net/20.500.12708/30989 ( reposiTUm)

Preprints

Ausserlechner, P., Haberger, D., Thalhammer, S., Weibel, J.-B. N., & Vincze, M. (2023). ZS6D: Zero-shot 6D Object Pose Estimation using Vision Transformers. arXiv. https://doi.org/10.34726/7439 ( reposiTUm)

Hawes, N., Burbridge, C., Jovan, F., Kunze, L., Lacerda, B., Mudrova, L., Young, J., Wyatt, J., Hebesberger, D., Körtner, T., Ambrus, R., Bore, N., Folkesson, J., Jensfelt, P., Beyer, L., Hermans, A., Leibe, B., Aldoma Buchaca, A., Fäulhammer, T., … Hanheide, M. (2016). The STRANDS Project: Long-Term Autonomy in Everyday Environments (p. 14). arXiv. https://doi.org/10.48550/arXiv.1604.04384 ( reposiTUm)

Hochschulschriften

Vincze, M. (2002). Accurate robot control : a vision-based approach to robust real-world object tracking [Professorial Dissertation, Technische Universität Wien]. reposiTUm. http://hdl.handle.net/20.500.12708/185280 ( reposiTUm)

Vincze, M. (1993). A model of direct-drive axes to improve robot accuracy [Dissertation, Technische Universität Wien]. reposiTUm. http://hdl.handle.net/20.500.12708/192853 ( reposiTUm)

Vincze, M. (1988). Kollisionsvermeidung von zwei Robotern in Echtzeit [Diploma Thesis, Technische Universität Wien]. reposiTUm. http://hdl.handle.net/20.500.12708/213560 ( reposiTUm)