Biblio

Found 237 results
Author [ Title(Asc)] Type Year
Filters: Author is Jochen J. Steil  [Clear All Filters]
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C
Haschke R, Steil JJ, Ritter H.  2001.  Controlling oscillatory behaviour of a two neuron recurrent neural network using inputs. Artificial Neural Networks - ICANN 2001. 2130:1109–1114.
Dehio N, Kubus D, Steil JJ.  2018.  Continuously Shaping Projections and Operational Space Tasks. IROS 2018.
Dehio N, Reinhart F, Steil JJ.  2016.  Continuous Task-Priority Rearrangement during Motion Execution with a Mixture of Torque Controllers. Proc. IEEE Humanoids.
Lieder Y, Steil JJ.  2021.  Constraint optimization for Echo State Networks applied to satellite image forecasting. ESANN. :299-304.
Reinhart F, Steil JJ.  2011.  A constrained regularization approach for input-driven recurrent neural networks. Differential Equations and Dynamical Systems. 19:27–46.
Rolf M, Steil JJ.  2012.  Constant curvature continuum kinematics as fast approximate model for the Bionic Handling Assistant. IEEE/RSJ Int. Conf. Intelligent Robots and Systems (IROS). :3440–3446.
Mohammadi P, Hoffmann EMingo, Dehio N, Malekzadeh M, Giese M, Tsagarakis N, Steil JJ.  2020.  Compliant Humanoids Moving Toward Rehabilitation Applications: Transparent Integration of Real-Time Control, Whole-Body Motion Generation, and Virtual Reality. ICRA - RAM paper presentation .
Mohammadi P, Hoffmann EMingo, Dehio N, Malekzadeh M, Giese M, Tsagarakis N, Steil JJ.  2019.  Compliant Humanoids Moving Toward Rehabilitation Applications. Robotics and Automation Magazin. 26(4):83-93.
Wersing H, Steil JJ, Ritter H.  2001.  A Competitive Layer Model for Feature Binding and Sensory Segmentation. Neural Computation. 13:357–387.
Dehio N, Steil JJ.  2016.  A Comparison of Null-space Projection and Mixture of Torque Controllers for Motion Generation. Proc. 9th Int. Workshop on Human-Friendly Robotics.
B
Queißer J, Steil JJ.  2018.  Bootstrapping of Parameterized Skills Through Hybrid Optimization in Task and Policy Spaces. Frontiers in Robotics and AI, section Humanoid Robotics. 5
Rolf M, Steil JJ, Gienger M.  2010.  Bootstrapping inverse Kinematics with Goal Babbling. :147–154.
Wersing H, Kirstein S, Götting M, Brandl H, Dunn M, Mikhailova I, Görick C, Steil JJ, Ritter H, Körner E.  2006.  A biologically motivated system for unconstrained online learning of visual objects. Proc. of the Int. Conf. on Artificial Neural Networks (ICANN). 2:508–517.
Barut S, Boneberger M, Mohammadi P, Steil JJ.  2021.  Benchmarking Real-Time Capabilities of ROS2 and OROCOS for Robotics Applications. ICRA. :708-714.
Neumann K, Steil JJ.  2011.  Batch Intrinsic Plasticity for Extreme Learning Machines. Artificial Neural Networks and Machine Learning – ICANN 2011. Pt. 1. 6791:339–346.
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.
Steil JJ.  2004.  Backpropagation-Decorrelation: online recurrent learning with O(N) complexity. Proc. Int. Joint Conference Neural Networks. 1:843–848.
A
Muehlig M, Gienger M, Steil JJ, Goerick C.  2009.  Automatic Selection of Task Spaces for Imitation Learning. IEEE International Conference on Intelligent Robots and Systems. :4996–5002.
Droegemueller J, Garcia-Briones CX, Gambaro EF, Suppa M, Steil JJ, Roa MA.  2021.  Automatic generation of realistic training data for learning parallel-jaw grasping from synthetic stereo images. International Conference on Advanced Robotics. :730-737.

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