Biblio

Found 213 results
Author [ Title(Desc)] 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 
G
Ritter H, Weng S, Ontrup J, Steil JJ.  2006.  Gestalt Formation in a Competitive Layered Neural Architecture. Networks: From Biology to Theory. :163–191.
Pardowitz M, Haschke R, Steil JJ, Ritter H.  2008.  Gestalt-Based Action Segmentation for Robot Task Learning. IEEE-RAS 7th International Conference on Humanoid Robots (HUMANOIDS). :347–352.
Rolf M, Steil JJ.  2012.  Goal Babbling: a New Concept for Early Sensorimotor Exploration. Proceedings of Workshop on Developmental Robotics.
Rolf M.  2012.  Goal babbling for an efficient bootstrapping of inverse models in high dimensions.
Rolf M, Steil JJ, Gienger M..  2010.  Goal Babbling permits direct learning of inverse kinematics. IEEE Trans. Autonomous Mental Development. 2:216–229.
Rayyes R, Steil JJ.  2016.  Goal Babbling with direction sampling for simultaneous exploration and learning of inverse kinematics of a humanoid robot. Proceedings of the workshop on New Challenges in Neural Computation. 4:56–63.
Reinhart F, Steil JJ.  2009.  Goal-directed movement generation with a transient-based recurrent neural network controller. Advanced Technologies for Enhanced Quality of Life. :112–117.
Steil JJ, Heidemann G, Jockusch J, Rae R, Jungclaus N, Ritter H.  2001.  Guiding Attention for Grasping Tasks by Gestural Instruction: The GRAVIS-Robot Architecture. Proc. Int. Conf. Intelligent Robots and Sytems. :1570–1577.
I
Alizadeh T, Malekzadeh MS.  2016.  Identifying the relevant frames of reference in programming by demonstration using task-parameterized Gaussian mixture regression. 2016 IEEE/SICE International Symposium on System Integration (SII).
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.
Malekzadeh M, Queißer J, Steil JJ.  2017.  Imitation learning for a continuum trunk robot. Proceedings of the 25. European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning.
Aswolinskiy W, Reinhart F, Steil JJ.  2015.  Impact of Regularization on the Model Space for Time Series Classification. New Challenges in Neural Computation (NC2). :49–56.
Schrauwen B, Wardermann M, Verstraeten D, Steil JJ, Stroobandt D.  2008.  Improving reservoirs using intrinsic plasticity. Neurocomputing. 71:1159–1171.
Shareef Z, Mohammadi P, Steil JJ.  2016.  Improving the Inverse Dynamics Model of the KUKA LWR IV+ using Independent Joint Learning. Proceedings 7th IFAC Symposium on Mechatronic Systems. :507––512.
Queißer J, Reinhart F, Steil JJ.  2016.  Incremental Bootstrapping of Parameterized Motor Skills. Proc. IEEE Humanoids.
Denecke A, Wersing H, Steil JJ, Körner E.  2009.  Incremental Figure-Ground Segmentation using localized adaptive metrics in LVQ. International Workshop on Self-Organizing Maps (WSOM). :45–53.
Caluwaerts K, Steil JJ.  2015.  Independent Joint Learning in Practice: Local Error Estimates to Improve Inverse Dynamics Control. :643–650.

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