Found 220 results[ Author] Title Type Year
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Goal-directed movement generation with a transient-based recurrent neural network controller. Advanced Technologies for Enhanced Quality of Life. :112–117.. 2009.
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.
Efficient Policy Search in Low-dimensional Embedding Spaces by Generalizing Motion Primitives with a Parameterized Skill Memory. Autonomous Robots. 38:331–348.. 2015.
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.
Goal-Related Feedback Guides Motor Exploration and Redundancy Resolution in Human Motor Skill Acquisition. PLOS Computational Biology. 15(3):1-27.. 2019.
Device Mismatch in a Neuromorphic System Implements Random Features for Regression. Biomedical Circuits and Systems Conference (BioCAS), 2015 IEEE. :1–4.. 2015.
Manual Intelligence as a Rosetta Stone for Robot Cognition. Robotics Research. 66:135–146.. 2011.
Gestalt Formation in a Competitive Layered Neural Architecture. Networks: From Biology to Theory. :163–191.. 2006.
A Dual Interaction Perspective for Robot Cognition: Grasping as a "Rosetta Stone". Perspectives of Neural-Symbolic Integration. :159–178.. 2007.
Neural Architectures for Robotic Intelligence. Reviews in the Neurosciences. 14:121–143.. 2003.
Trying to Grasp a Sketch of a Brain for Grasping. Creating Brain-Like Intelligence. :84–102.. 2009.
Mit Kopf, Körper und Hand: Herausforderungen Humanoider Roboter. Automatisierungstechnik, special issue on "humnoid robotics". 58:630–638.. 2010.
Learning Flexible Full Body Kinematics for Humanoid Tool Use. Int. Symp. Learning and Adaptive Behavior in Robotic Systems (Best Paper Award). :171–176.. 2010.
Constant curvature continuum kinematics as fast approximate model for the Bionic Handling Assistant. IEEE/RSJ Int. Conf. Intelligent Robots and Systems (IROS). :3440–3446.. 2012.
Online Goal Babbling for rapid bootstrapping of inverse models in high dimensions. IEEE Int. Conf. Development and Learning and on Epigenetic Robotics (best student paper award). 2:1–8.. 2011.
Efficient exploration and learning of whole body kinematics. IEEE 8th International Conference on Development and Learning. :1–7.. 2009.
A Multi-Level Control Architecture for the Bionic Handling Assistant. Advanced Robotics. 29:847–859.. 2015.
Explorative learning of right inverse functions: theoretical implications of redundancy. Neurocomputing. 131:2-14.. 2013.
From social interaction to ethical AI: a developmental roadmap. ICDL-EPIROB 2018.. 2018.
Mastering Growth while Bootstrapping Sensorimotor Coordination. Int. Conf. on Epigenetic Robotics.. 2010.
Efficient exploratory learning of inverse kinematics on a bionic elephant trunk. IEEE Trans. Neural Networks and Learning Systems. 25:1147–1160.. 2014.