Florian Paul Schmidt
florian_paul.schmidt@uni-bielefeld.dehttps://orcid.org/0000-0001-5126-723X
PEVZ-ID
6 Publikationen
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2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2954840Arent, I., Schmidt, F. P., Botsch, M., & Dürr, V. (2021). Marker-Less Motion Capture of Insect Locomotion With Deep Neural Networks Pre-trained on Synthetic Videos. Frontiers in behavioral neuroscience, 15, 637806. https://doi.org/10.3389/fnbeh.2021.637806
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2017 | Kurzbeitrag Konferenz / Poster | PUB-ID: 2911669Dürr, V., Schmidt, F. P., Walter, T., Würth, S., & Botsch, M. (2017). Marker-less motion capture of antennal movement kinematics in honeybees and other Hymenopterans. Proc. Göttingen Meeting Ger. Neurosci. Soc. 2017
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2016 | Kurzbeitrag Konferenz / Poster | PUB-ID: 2909972Dürr, V., Walter, T., Würth, S., Schmidt, F. P., & Botsch, M. (2016). Marker-less motion capture of antennal movements in honeybees and bumblebees. Proc.German Zool.Soc., Proc.German Zool.Soc., PP-NB-17. Kiel.
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2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1894923Schöpfer, M., Schmidt, F., Pardowitz, M., & Ritter, H. (2010). Open Source Real-Time Control Software for the Kuka Light Weight Robot. In Institute of Electrical and Electronics Engineers (Ed.), Proc. of World Congress on Intelligent Control and Automation (pp. 444-449). Jinan, China: IEEE. https://doi.org/10.1109/WCICA.2010.5553773
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2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2033998Martin, M., Maycock, J., Schmidt, F., & Krämer, O. (2010). Recognition of manual actions using vector quantization and dynamic time warping. In M. Graña Romay, E. Corchado, & M. T. Garcia Sebastian (Eds.), Proc. 5th Conf. Hybrid Artificial Intelligence Systems (Vol. 6067, pp. 221-228). Springer. https://doi.org/10.1007/978-3-642-13769-3_27
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2009 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1894932Schöpfer, M., Schürmann, C., Schmidt, F., Pardowitz, M., & Ritter, H. (2009). Handling of Deformable Material Using Tactile Sensors in a Bi-manual Scenario. Workshop on Tactile Sensing in Humanoids @ HUMANOIDS