Found 211 results[ Author] Title Type Year
Search results for Steil [Reset Search]
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.
Goal Babbling: a New Concept for Early Sensorimotor Exploration. Proceedings of Workshop on Developmental Robotics.. 2012.
Goal Babbling permits direct learning of inverse kinematics. IEEE Trans. Autonomous Mental Development. 2:216–229.. 2010.
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.
Device Mismatch in a Neuromorphic System Implements Random Features for Regression. Biomedical Circuits and Systems Conference (BioCAS), 2015 IEEE. :1–4.. 2015.
Goal-Related Feedback Guides Motor Exploration and Redundancy Resolution in Human Motor Skill Acquisition. PLOS Computational Biology. 15(3):1-27.. 2019.
Maschinelles Lernen in technischen Systemen. Steigerung der Intelligenz mechatronischer Systeme. :pp.73-118.. 2018.
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.
Hybrid Mechanical and Data-driven Modeling Improves Inverse Kinematic Control of a Soft Robot. Procedia Technology. 26:12–19.. 2016.
Neural learning and dynamical selection of redundant solutions for inverse kinematic control. Proc. IEEE Int. Conf. Humanoid Robots. :564–569.. 2011.
Goal-directed movement generation with a transient-based recurrent neural network controller. Advanced Technologies for Enhanced Quality of Life. :112–117.. 2009.