15 Publikationen

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  • [15]
    2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2700302
    Meyer zu Borgsen, S., et al., 2014. Automated Door Detection with a 3D-Sensor. In Computer and Robot Vision (CRV), 2014 Canadian Conference on. IEEE, pp. 276-282.
    PUB | DOI | WoS
     
  • [14]
    2013 | Report | PUB-ID: 2562205 OA
    Ziegler, L., et al., 2013. ToBI - Team of Bielefeld: The Human-Robot Interaction System for RoboCup@Home 2013,
    PUB | PDF
     
  • [13]
    2012 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2306886
    Schöpfer, M., et al., 2012. Identifying Relevant Tactile Features for Object Identification. In E. Prassler, et al., eds. Towards Service Robots for Everyday Environments. Recent Advances In Designing Service Robots For Complex Tasks In Everyday Environments. Springer Tracts in Advanced Robotics. no.76 Berlin: Springer, pp. 417-430.
    PUB | DOI | WoS
     
  • [12]
    2012 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2306867
    Schürmann, C., et al., 2012. A High-Speed Tactile Sensor for Slip Detection. In E. Prassler, et al., eds. Towards Service Robots for Everyday Environments. Springer Tracts in Advanced Robotics. no.76 Berlin, Heidelberg: Springer, pp. 403-415.
    PUB | DOI | WoS
     
  • [11]
    2012 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2306896
    Haschke, R., Schöpfer, M., & Ritter, H., 2012. Grasping Objects of Unknown Geometry with Tactile Feedback. In E. Prassler, et al., eds. Towards Service Robots for Everyday Environments. Springer Tracts in Advanced Robotics. no.76 Berlin, Heidelberg: Springer, pp. 431-440.
    PUB | DOI
     
  • [10]
    2012 | Report | PUB-ID: 2517334 OA
    Wachsmuth, S., et al., 2012. ToBI - Team of Bielefeld: The Human-Robot Interaction System for RoboCup@Home 2012,
    PUB | PDF
     
  • [9]
    2011 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2143849
    Meier, M., et al., 2011. A Probabilistic Approach to Tactile Shape Reconstruction. IEEE Transactions on Robotics, 27(3), p 630-635.
    PUB | DOI | Download (ext.) | WoS
     
  • [8]
    2011 | Bielefelder E-Dissertation | PUB-ID: 2527429 OA
    Schöpfer, M., 2011. Tactile perception of cognitive robots, Bielefeld: Universität Bielefeld.
    PUB | Dateien verfügbar
     
  • [7]
    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
     
  • [6]
    2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1996857 OA
    Schöpfer, M., et al., 2010. Using a Piezo-Resistive Tactile Sensor for Detection of Incipient Slippage. In International Symposium on Robotics. pp. 1-7.
    PUB | PDF | Download (ext.)
     
  • [5]
    2009 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1894911
    Schöpfer, M., Pardowitz, M., & Ritter, H., 2009. Using Entropy for Dimension Reduction of Tactile Data. In 14th International Conference on Advanced Robotics. Munich, Germany: IEEE, pp. 1-6.
    PUB
     
  • [4]
    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
     
  • [3]
    2009 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1894915
    Schöpfer, M., Pardowitz, M., & Ritter, H., 2009. Evaluation of Tactile Features for Object Categorization. In Workshop on Tactile Sensing in Humanoids @ HUMANOIDS. Paris.
    PUB
     
  • [2]
    2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1894919
    Schöpfer, M., Ritter, H., & Heidemann, G., 2007. Acquisition and Application of a Tactile Database. In Proc. IEEE Int'l Conf. on Robotics and Automation ICRA 2007. IEEE, pp. 1517-1522.
    PUB | DOI
     
  • [1]
    2004 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 1894908
    Heidemann, G., & Schöpfer, M., 2004. Dynamic Tactile Sensing for Object Identification. In Proc. IEEE Int'l Conf. on Robotics and Automation. New Orleans: IEEE, pp. 813-818.
    PUB | DOI
     

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