Biblio

Found 212 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 
P
Aswolinskiy W, Steil JJ.  2016.  Parameterized Pattern Generation via Regression in the Model Space of Echo State Networks. Proceedings of the Workshop on New Challenges in Neural Computation.
Shareef Z.  2015.  Path planning and trajectory optimization of delta parallel robot. Department of Mechanical Engineering. PhD Thesis
Hammer B, Steil JJ.  2002.  Perspectives on Learning with Recurrent Neural Networks. Proc. European Symposium Artificial Neural Networks. :357–368.
Röthling F, Haschke R, Steil JJ, Ritter H.  2007.  Platform Portable Anthropomorphic Grasping with the Bielefeld 20-DOF Shadow and 9-DOF TUM Hand. Proc. Int. Conf. on Intelligent Robots and Systems (IROS). :2951–2956.
R
Soltoggio A, Lemme A, Reinhart F, Steil JJ.  2013.  Rare neural correlations implement robotic conditioning with reward delays and disturbances. Frontiers in Neurorobotics. 7:6.
Reinhart F, Steil JJ.  2009.  Reaching movement generation with a recurrent neural network based on learning inverse kinematics for the humanoid robot iCub. IEEE Conf. Humanoid Robotics. :323–330.
Lebedev DV, Steil JJ, Ritter H.  2003.  Real Time Path Planning in Dynamic Environment: a Comparison of Three Neural Network Models. Proc. IEEE Int. Conf. Systems, Man, and Cybernetics. :3408–3413.
Hammer B, Schrauwen B., Steil JJ.  2009.  Recent advances in efficient learning of recurrent networks. European Symposium on Artificial Neural Networks. :213–226.
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.
Steil JJ, Ritter H.  1999.  Recurrent Learning of Input-Output Stable Behaviour in Function Space: A Case Study with the Roessler Attractor. Proc. Int. Conf. Artificial Neural Networks. :761–766.
Reinhart F, Steil JJ.  2008.  Recurrent neural associative learning of forward and inverse kinematics for movement generation of the redundant PA-10 robot. Int. Symp. Learning Adaptive Behavior in Robotic Systems, best paper award. 1:35–40.
Reinhart F, Steil JJ.  2012.  Regularization and stability in reservoir networks with output feedback. Neurocomputing. 90:96–105.
Neumann K, Emmerich C, Steil JJ.  2012.  Regularization by Intrinsic Plasticity and its Synergies with Recurrence for Random Projection Methods. Journal of Intelligent Learning Systems and Applications. 4:230–246.
Neumann K.  2014.  Reliability of Extreme Learning Machines. :155.
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.
Reinhart F, Lemme A, Steil JJ.  2012.  Representation and Generalization of Bi-manual Skills from Kinesthetic Teaching. IEEE-RAS International Conference on Humanoid Robots. :560–567.
Reinhart F, Steil JJ.  2011.  Reservoir regularization stabilizes learning of Echo State Networks with output feedback. Proc. European Symposium on Artificial Neural Networks. :59–64.
Rolf M, Gienger M, Steil JJ.  2013.  Robot control with bootstrapping inverse kinematics.
Gienger M, Muehlig M, Steil JJ.  2011.  Robot with automatic selection of task-specific representations for imitation learning. European Patent Office.
Steil JJ.  In Press.  Roboterlernen ohne Grenzen ? Lernende Roboter und ethische Fragen Christiane Woopen, Marc Jannes [Hrsg.] Roboter in der Gesellschaft. Technische Möglichkeiten und menschliche Verantwortung.
Steil JJ, Maier GW.  2017.  Robots in the digitalized workplace. The Wiley Blackwell Handbook of the Psychology of the Internet at Work. :403-422.
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.  2000.  Robust control in closed loops realised by fast signal transmission of infinite gain neurons. Proc. Int. Conf. Artificial Neural Networks. 1:260–266.
Denecke A, Wersing H, Steil JJ, Körner E.  2008.  Robust object segmentation by adaptive metrics in Generalized LVQ. Proc. of the European Symposium on Artificial Neural Networks (ESANN). :319–324.

Pages