6 Publikationen

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  • [6]
    2021 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2954840 OA
    Arent, I., et al., 2021. Marker-Less Motion Capture of Insect Locomotion With Deep Neural Networks Pre-trained on Synthetic Videos. Frontiers in behavioral neuroscience, 15: 637806.
    PUB | PDF | DOI | WoS | PubMed | Europe PMC
     
  • [5]
    2017 | Kurzbeitrag Konferenz / Poster | PUB-ID: 2911669
    Dürr, V., et al., 2017. Marker-less motion capture of antennal movement kinematics in honeybees and other Hymenopterans. In Proc. Göttingen Meeting Ger. Neurosci. Soc. 2017.
    PUB
     
  • [4]
    2016 | Kurzbeitrag Konferenz / Poster | PUB-ID: 2909972
    Dürr, V., et al., 2016. Marker-less motion capture of antennal movements in honeybees and bumblebees. In Proc.German Zool.Soc. Proc.German Zool.Soc. Kiel, pp. PP-NB-17.
    PUB
     
  • [3]
    2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1894923
    Schöpfer, M., et al., 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. Jinan, China: IEEE, pp. 444-449.
    PUB | DOI
     
  • [2]
    2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2033998
    Martin, M., et al., 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. no.6067 Springer, pp. 221-228.
    PUB | DOI
     
  • [1]
    2009 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1894932
    Schöpfer, M., et al., 2009. Handling of Deformable Material Using Tactile Sensors in a Bi-manual Scenario. In Workshop on Tactile Sensing in Humanoids @ HUMANOIDS. Paris.
    PUB
     

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