Biblio

Found 197 results
Author Title [ Type(Desc)] Year
Search results for Steil  [Reset Search]
Journal Article
Neumann K, Rolf M, Steil JJ.  2013.  Reliable Integration of Continuous Constraints into Extreme Learning Machines. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems. 21:35–50.
Vollmer A-L, Mühlig M, Steil JJ, Pitsch K, Fritsch J, Rohlfing K, Wrede B.  2014.  Robots show us how to teach them: Feedback from robots shapes tutoring behavior during action learning. PLoS ONE. 9:e91349.
Steil JJ, Röthling F, Haschke R, Ritter H.  2004.  Situated robot learning for multi-modal instruction and imitation of grasping. Robotics and Autonomous Systems. 47:129–141.
Soltoggio A, Steil JJ.  2013.  Solving the distal reward problem with rare correlations. Neural Computation. 25:940–978.
Junger I.B, Steil JJ.  2003.  Static Sliding Mode Phenomena in Dynamical Systems. IEEE Trans. Automatic Control. 48:680–686.
Aswolinskiy W, Reinhart F, Steil JJ.  2017.  Time Series Classification in Reservoir- and Model-Space. Neural Processing Letters.
Steil JJ, Cawley GC, Villmann T.  2005.  Trends in Neurocomputing at ESANN 2004. Neurocomputing. 64:1–4.
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 stiffness control and task specificity in physical Human-Robot Interaction. Frontiers in Robotics and AI -- Humanoid Robotics.
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.
Workshop Paper
Gopinathan S, Mohammadi P, Steil JJ.  2018.  Improved Human-Robot Interaction: A manipulability based approach. ICRA 2018 Workshop on Ergonomic Physical Human-Robot Collaboration.
Rayyes R, Kubus D, Steil J.  2018.  Multi-Stage Goal Babbling for Learning Inverse Models Simultaneously.. IROS workshop.

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