12 Publikationen

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  • [12]
    2016 | Bielefelder E-Dissertation | PUB-ID: 2900019 OA
    C. Emmerich, Efficient and intuitive teaching of redundant robots in task and configuration space, Bielefeld: Universität Bielefeld, 2016.
    PUB | PDF
     
  • [11]
    2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2685048
    D. Seidel, C. Emmerich, and J.J. Steil, “Model-free Path Planning for Redundant Robots using Sparse Data from Kinesthetic Teaching”, Proc. of the Int. Conference on Intelligent Robots and Systems (IROS), 2014, pp.4381-4388.
    PUB
     
  • [10]
    2013 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2581198
    J.J. Steil, et al., “Kinesthetic Teaching Using Assisted Gravity Compensation for Model-Free Trajectory Generation in Confined Spaces”, Gearing Up and Accelerating Cross-Fertilization between Academic and Industrial Robotics Research in Europe, F. Röhrbein, G. Veiga, and C. Natale, eds., Springer Tracts in Advanced Robotics, vol. 94, Springer, 2013, pp.107-127.
    PUB
     
  • [9]
    2013 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2547917
    S. Wrede, et al., “A User Study on Kinesthetic Teaching of Redundant Robots in Task and Configuration Space”, Journal of Human-Robot Interaction (JHRI), vol. 2, 2013, pp. 56-81.
    PUB | DOI
     
  • [8]
    2013 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2549946
    C. Emmerich, et al., “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, 2013.
    PUB
     
  • [7]
    2013 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2532421
    C. Emmerich, F. Reinhart, and J.J. Steil, “Multi-directional Continuous Association with Input-driven Neural Dynamics”, Neurocomputing (Special Issue ESANN 2012), vol. 112, 2013, pp. 47-57.
    PUB | DOI | WoS
     
  • [6]
    2012 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2508614 OA
    K. Neumann, C. Emmerich, and J.J. Steil, “Regularization by Intrinsic Plasticity and its Synergies with Recurrence for Random Projection Methods”, Journal of Intelligent Learning Systems and Applications, vol. 4, 2012, pp. 230-246.
    PUB | PDF | DOI
     
  • [5]
    2012 | Zeitungsartikel | PUB-ID: 2604512
    C. Emmerich and A. Swadzba, “Man and machine go hand in hand - FlexIRob@HARTING”, tec.News: HARTING’s Technology Newsletter, 01.01.2012.
    PUB
     
  • [4]
    2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2465815
    C. Emmerich, F. Reinhart, and J.J. Steil, “Balancing of neural contributions for multi-modal hidden state association”, Proc. European Symposium on Artificial Neural Networks, d-facto, 2012, pp.19-24.
    PUB
     
  • [3]
    2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2563604
    C. Emmerich, et al., “Interactive Learning of Inverse Kinematics with Null-space Constraints using Recurrent Neural Networks”, Presented at the International Conference on Cognitive Systems, Vienna, TU Vienna, 2012.
    PUB
     
  • [2]
    2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2465826
    A. Nordmann, et al., “Teaching Nullspace Constraints in Physical Human-Robot Interaction using Reservoir Computing”, International Conference on Robotics and Automation, Institute of Electrical and Electronics Engineers, ed., St. Paul: IEEE, 2012, pp.1868-1875.
    PUB | DOI
     
  • [1]
    2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2142030 OA
    C. Emmerich, F. Reinhart, and J.J. Steil, “Recurrence Enhances the Spatial Encoding of Static Inputs in Reservoir Networks”, Proc. Int. Conf. Artificial Neural Networks, Berlin, Heidelberg: Springer Berlin Heidelberg, 2010, pp.148-153.
    PUB | PDF | DOI
     

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