Found 182 results[ Author] Title Type Year
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Batch Intrinsic Plasticity for Extreme Learning Machines. Artificial Neural Networks and Machine Learning – ICANN 2011. Pt. 1. 6791:339–346.. 2011.
Intrinsic Plasticity via Natural Gradient Decent. 20th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2012). Proceedings. :555–560.. 2012.
Modeling of Movement Control Architectures based on Motion Primitives using Domain-Specific Languages.. 2015.
Teaching Nullspace Constraints in Physical Human-Robot Interaction using Reservoir Computing. International Conference on Robotics and Automation. :1868–1875.. 2012.
Why Criteria of Decision Fairness Should be Considered in Robot Design. Workshop Robots in Groups and Teams at ACM Conference on Computer Supported Cooperative Work and Social Computing.. 2017.
Gestalt-Based Action Segmentation for Robot Task Learning. IEEE-RAS 7th International Conference on Humanoid Robots (HUMANOIDS). :347–352.. 2008.
Incremental Bootstrapping of Parameterized Motor Skills. Proc. IEEE Humanoids.. 2016.
An Active Compliant Control Mode for Interaction with a Pneumatic Soft Robot. 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2014). :573–579.. 2014.
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.. 2016.
State prediction: a constructive method to program recurrent neural networks. Artificial Neural Networks and Machine Learning – ICANN 2011 : 21st International Conference on Artificial Neural Networks, Espoo, Finland, June 14-17, 2011, Proceedings, Part I. 6791:159–166.. 2011.
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.. 2008.
Representation and Generalization of Bi-manual Skills from Kinesthetic Teaching. IEEE-RAS International Conference on Humanoid Robots. :560–567.. 2012.
Reaching movement generation with a recurrent neural network based on learning inverse kinematics for the humanoid robot iCub. IEEE Conf. Humanoid Robotics. :323–330.. 2009.
Efficient Policy Search in Low-dimensional Embedding Spaces by Generalizing Motion Primitives with a Parameterized Skill Memory. Autonomous Robots. 38:331–348.. 2015.
Regularization and stability in reservoir networks with output feedback. Neurocomputing. 90:96–105.. 2012.
Tacking reduces bow-diving of high-speed unmanned sea surface vehicles. Int. Symp. Learning and Adaptive Behavior in Robotic Systems. :177–182.. 2010.
A constrained regularization approach for input-driven recurrent neural networks. Differential Equations and Dynamical Systems. 19:27–46.. 2011.
Attractor-based computation with reservoirs for online learning of inverse kinematics. European Symposium Artificial Neural Networks (ESANN). :257–262.. 2009.
Learning Whole Upper Body Control with Dynamic Redundancy Resolution in Coupled Associative Radial Basis Function Networks. IROS. :1487–1492.. 2012.
Neural learning and dynamical selection of redundant solutions for inverse kinematic control. Proc. IEEE Int. Conf. Humanoid Robots. :564–569.. 2011.
Hybrid Mechanical and Data-driven Modeling Improves Inverse Kinematic Control of a Soft Robot. Procedia Technology. 26:12–19.. 2016.