12 Publikationen

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  • [12]
    2016 | Bielefelder E-Dissertation | PUB-ID: 2900019 OA
    Emmerich, C., 2016. Efficient and intuitive teaching of redundant robots in task and configuration space, Bielefeld: Universität Bielefeld.
    PUB | PDF
     
  • [11]
    2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2685048
    Seidel, D., Emmerich, C., & Steil, J.J., 2014. Model-free Path Planning for Redundant Robots using Sparse Data from Kinesthetic Teaching. In Proc. of the Int. Conference on Intelligent Robots and Systems (IROS). pp. 4381-4388.
    PUB
     
  • [10]
    2013 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2581198
    Steil, J.J., et al., 2013. Kinesthetic Teaching Using Assisted Gravity Compensation for Model-Free Trajectory Generation in Confined Spaces. In F. Röhrbein, G. Veiga, & C. Natale, eds. Gearing Up and Accelerating Cross-Fertilization between Academic and Industrial Robotics Research in Europe. Springer Tracts in Advanced Robotics. no.94 Springer, pp. 107-127.
    PUB
     
  • [9]
    2013 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2547917
    Wrede, S., et al., 2013. A User Study on Kinesthetic Teaching of Redundant Robots in Task and Configuration Space. Journal of Human-Robot Interaction (JHRI), 2(1), p 56-81.
    PUB | DOI
     
  • [8]
    2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2549946
    Emmerich, C., et al., 2013. Assisted Gravity Compensation to Cope with the Complexity of Kinesthetic Teaching on Redundant Robots. Presented at the International Conference on Robotics and Automation (ICRA), Karlsruhe.
    PUB
     
  • [7]
    2013 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2532421
    Emmerich, C., Reinhart, F., & Steil, J.J., 2013. Multi-directional Continuous Association with Input-driven Neural Dynamics. Neurocomputing (Special Issue ESANN 2012), 112, p 47-57.
    PUB | DOI | WoS
     
  • [6]
    2012 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2508614 OA
    Neumann, K., Emmerich, C., & Steil, J.J., 2012. Regularization by Intrinsic Plasticity and its Synergies with Recurrence for Random Projection Methods. Journal of Intelligent Learning Systems and Applications, 4(3), p 230-246.
    PUB | PDF | DOI
     
  • [5]
    2012 | Zeitungsartikel | PUB-ID: 2604512
    Emmerich, C., & Swadzba, A., 01.01.2012 Man and machine go hand in hand - FlexIRob@HARTING. tec.News: HARTING’s Technology Newsletter.
    PUB
     
  • [4]
    2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2465815
    Emmerich, C., Reinhart, F., & Steil, J.J., 2012. Balancing of neural contributions for multi-modal hidden state association. In Proc. European Symposium on Artificial Neural Networks. d-facto, pp. 19-24.
    PUB
     
  • [3]
    2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2563604
    Emmerich, C., et al., 2012. Interactive Learning of Inverse Kinematics with Null-space Constraints using Recurrent Neural Networks. Presented at the International Conference on Cognitive Systems, Vienna.
    PUB
     
  • [2]
    2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2465826
    Nordmann, A., et al., 2012. Teaching Nullspace Constraints in Physical Human-Robot Interaction using Reservoir Computing. In Institute of Electrical and Electronics Engineers, ed. International Conference on Robotics and Automation. St. Paul: IEEE, pp. 1868-1875.
    PUB | DOI
     
  • [1]
    2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2142030 OA
    Emmerich, C., Reinhart, F., & Steil, J.J., 2010. Recurrence Enhances the Spatial Encoding of Static Inputs in Reservoir Networks. In Proc. Int. Conf. Artificial Neural Networks. Berlin, Heidelberg: Springer Berlin Heidelberg, pp. 148-153.
    PUB | PDF | DOI
     

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