Biblio

Found 231 results
[ Author(Desc)] Title Type Year
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z 
F
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.  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, Muehlig M, Steil JJ.  2011.  Robot with automatic selection of task-specific representations for imitation learning. European Patent Office.
Gienger M, Steil JJ.  In Press.  Humanoid Kinematics and Dynamics: Open Questions and Future Directions. Humanoid Robotics: A Reference.
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.
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.
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.
H
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.  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.
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.

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