Biblio

Found 211 results
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Emmerich C, Reinhart F, Steil JJ.  2010.  Recurrence Enhances the Spatial Encoding of Static Inputs in Reservoir Networks. Proc. Int. Conf. Artificial Neural Networks. :148–153.
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Fink GA, Fritsch J, Leßmann N, Ritter H, Sagerer G, Steil JJ, Wachsmuth I.  2003.  Architekturen situierter Kommunikatoren: Von Perzeption über Kognition zum Lernen. Informatik 2003 - Innovative Informatikanwendungen. 2:29–44.
Freire A, Lemme A, Steil JJ, Baretto G.  2012.  Learning visuo-motor coordination for pointing without depth calculation. Proc. European Symposium on Artificial Neural Networks. :91–96.
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Gienger M, Muehlig M, Steil JJ.  2011.  Robot with automatic selection of task-specific representations for imitation learning. European Patent Office.
Gienger M, Muehlig M, Steil JJ.  2010.  Imitating object movement skills with robots — A task-level approach exploiting generalization and invariance. The IEEE/RSJ 2010 International Conference on Intelligent Robots and Systems : Conference Proceedings. :1262–1269.
Gienger M, Steil JJ.  2018.  Humanoid Kinematics and Dynamics: Open Questions and Future Directions. Humanoid Robotics: A Reference. :893-902.
Gopinathan S, Mohammadi P, Steil JJ.  Submitted.  Stiffness Adaptation in physical HRI Based on the Human Arm's Manipulability. ACM Transactions on Human Robotics Interaction.
Gopinathan S, Ötting S, Steil JJ.  2017.  A User Study on Personalized Adaptive Stiffness Control Modes for Human-Robot Interaction. 26th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN), p 831-837.
Gopinathan S, Mohammadi P, Steil JJ.  2018.  Improved Human-Robot Interaction: A manipulability based approach. ICRA 2018 Workshop on Ergonomic Physical Human-Robot Collaboration.
Gopinathan S, Ötting S, Steil JJ.  2017.  A user study on personalized stiffness control and task specificity in physical Human-Robot Interaction. Frontiers in Robotics and AI -- Humanoid Robotics.
Götting M, Steil JJ, Wersing H, Körner E, Ritter H.  2006.  Adaptive scene-dependent filters in online learning environments. New issues in neurocomputing. 13th European Symposium on Artificial Neural Networks 2005. :101–106.
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Hammer B, Schrauwen B., Steil JJ.  2009.  Recent advances in efficient learning of recurrent networks. European Symposium on Artificial Neural Networks. :213–226.
Hammer B, Steil JJ.  2002.  Perspectives on Learning with Recurrent Neural Networks. Proc. European Symposium Artificial Neural Networks. :357–368.
Haschke R, Steil JJ, Ritter H.  2001.  Controlling oscillatory behaviour of a two neuron recurrent neural network using inputs. Artificial Neural Networks - ICANN 2001. 2130:1109–1114.
Haschke R, Steil JJ, Steuwer I, Ritter H.  2005.  Task-Oriented Quality Measures for Dextrous Grasping. Proc. Conference on Computational Intelligence in Robotics and Automation. :689–694.
Haschke R, Steil JJ.  2005.  Input Space Bifurcation Manifolds of Recurrent Neural Networks. Neurocomputing. 64:25–38.
Haschke R, Steil JJ.  2004.  Input Space Bifurcation Manifolds of RNNs. Proc. European Symposium Artificial Neural Networks. :13–19.
He H, Chawla N, Chen H, Choe Y, Engelbrecht A, Deva J, Long L, Minai A, Nie F, Ozertem U et al..  2016.  Editorial IEEE Transactions on Neural Networks and Learning Systems 2016 and Beyond. IEEE Transactions on Neural Networks and Learning Systems. 27:1–7.
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Junger I.B, Steil JJ.  2003.  Static Sliding Mode Phenomena in Dynamical Systems. IEEE Trans. Automatic Control. 48:680–686.

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