Biblio

Found 272 results
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Steil JJ, Kõiva R, Sperduti A.  2006.  Unsupervised Clustering of Continuous Trajectories of Kinematic Trees with SOM-SD. Proc. European Symposium on Artificial Neural Networks.
Steil JJ, Kõiva R, Sperduti A.  2006.  Unsupervised Clustering of Continuous Trajectories of Kinematic Trees with SOM-SD. Proc. European Symposium on Artificial Neural Networks.
Muxfeldt A, Gopinathan S, Coenders T, Steil JJ.  2017.  A User Study on Human-Robot-Interactive Recovery for Industrial Assembly Problems. 26th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN), p. 824-830.
Wrede S, Emmerich C, Grünberg R, Nordmann A, Swadzba A, Steil JJ.  2013.  A User Study on Kinesthetic Teaching of Redundant Robots in Task and Configuration Space. Journal of Human-Robot Interaction. 2:56–81.
Wrede S, Emmerich C, Grünberg R, Nordmann A, Swadzba A, Steil JJ.  2013.  A User Study on Kinesthetic Teaching of Redundant Robots in Task and Configuration Space. Journal of Human-Robot Interaction. 2:56–81.
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, 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.
Narioka K, Steil JJ.  2015.  U-shaped motor development emerges from Goal Babbling with intrinsic motor noise. :55–62.
Soltoggio A, Lemme A, Steil JJ.  2012.  Using movement primitives in interpreting and decomposing complex trajectories in learning-by-doing. :1427–1433.
Soltoggio A, Lemme A, Steil JJ.  2012.  Using movement primitives in interpreting and decomposing complex trajectories in learning-by-doing. :1427–1433.
W
Schiller U.D, Steil JJ.  2003.  On the weight dynamcis of recurrent learning. Proc. European Symposium Artificial Neural Networks. :73–78.
Schiller U.D, Steil JJ.  2003.  On the weight dynamcis of recurrent learning. Proc. European Symposium Artificial Neural Networks. :73–78.
Steil JJ.  2011.  What do humanoid robots offer to experimental psychology ? Connectionist models of neurocognition and emergent behavior : from theory to applications ; proceedings of the 12th Neural Computation and Psychology Workshop, Birkbeck, University of London, 8 - 10 April 2010. 20:361–371.
Wischnewski M, Belardinelli A, Schneider WX, Steil JJ.  2010.  Where to Look Next? Combining Static and Dynamic Proto-objects in a TVA-based Model of Visual Attention Cognitive Computation. 2:326–343.
Wischnewski M, Belardinelli A, Schneider WX, Steil JJ.  2010.  Where to Look Next? Combining Static and Dynamic Proto-objects in a TVA-based Model of Visual Attention Cognitive Computation. 2:326–343.
Ötting S, Gopinathan S, Maier GW, Steil JJ.  2017.  Why Criteria of Decision Fairness Should be Considered in Robot Design. Workshop Robots in Groups and Teams at ACM Conference on Computer Supported Cooperative Work and Social Computing.

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