Found 181 results
Author Title Type [ Year(Asc)]
Filters: Author is Steil, Jochen J.  [Clear All Filters]
Rüther S, Hermann T, Mracek M, Kopp S, Steil JJ.  2013.  An Assistance System for Guiding Workers in Central Sterilization Supply Departments. Proceedings of the 6th International Conference on PErvasive Technologies Related to Assistive Environments. :31–38.
Emmerich C, Nordmann A, Swadzba A, Steil JJ, Wrede S.  2013.  Assisted Gravity Compensation to Cope with the Complexity of Kinesthetic Teaching on Redundant Robots. :4307–4313.
Rolf M, Steil JJ.  2013.  Explorative learning of right inverse functions: theoretical implications of redundancy. Neurocomputing.
Neumann K, Strub C, Steil JJ.  2013.  Intrinsic Plasticity via Natural Gradient Descent with Application to Drift Compensation. Neurocomputing. 112:26–33.
Lemme A, Freire A, Barreto G, Steil JJ.  2013.  Kinesthetic teaching of visuomotor coordination for pointing by the humanoid robot iCub. Neurocomputing. 112:179–188.
Steil JJ, Emmerich C, Swadzba A, Grünberg R, Nordmann A, Wrede S.  2013.  Kinesthetic Teaching Using Assisted Gravity Compensation for Model-Free Trajectory Generation in Confined Spaces. Gearing Up and Accelerating Cross-Fertilization between Academic and Industrial Robotics Research in Europe. 94:107–127.
Soltoggio A, Reinhart F, Lemme A, Steil JJ.  2013.  Learning the rules of a game: neural conditioning in human-robot interaction with delayed rewards.
Steil JJ, Krüger S.  2013.  Lernen und Sicherheit in Interaktion mit Robotern aus Maschinensicht. Robotik und Gesetzgebung. 2:51–71.
Emmerich C, Reinhart F, Steil JJ.  2013.  Multi-directional Continuous Association with Input-driven Neural Dynamics. Neurocomputing (Special Issue ESANN 2012). 112:47–57.
Neumann K, Lemme A, Steil JJ.  2013.  Neural Learning of Stable Dynamical Systems based on Data-Driven Lyapunov Candidates. :1216–1222.
Lemme A, Neumann K, Reinhart F, Steil JJ.  2013.  Neurally imprinted stable vector fields. :327–332.
Neumann K, Steil JJ.  2013.  Optimizing Extreme Learning Machines via Ridge Regression and Batch Intrinsic Plasticity. Neurocomputing. 102:23–30.
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.
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.
Rolf M, Gienger M, Steil JJ.  2013.  Robot control with bootstrapping inverse kinematics.
Soltoggio A, Steil JJ.  2013.  Solving the distal reward problem with rare correlations. Neural Computation. 25:940–978.
Rüther S, Hermann T, Mracek M, Kopp S, Steil JJ.  2013.  Supporting Workers and Quality Management in Sterilization Departments. Ambient Intelligence - Software and Applications. 219:229–236.
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.
Emmerich C, Reinhart F, Steil JJ.  2012.  Balancing of neural contributions for multi-modal hidden state association. Proc. European Symposium on Artificial Neural Networks. :19–24.