Biblio

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Reinhart F, Steil JJ.  2016.  Hybrid Mechanical and Data-driven Modeling Improves Inverse Kinematic Control of a Soft Robot. Procedia Technology. 26:12–19.
Reinhart F, Steil JJ.  2009.  Attractor-based computation with reservoirs for online learning of inverse kinematics. European Symposium Artificial Neural Networks (ESANN). :257–262.
Reinhart F, Neumann K, Aswolinskiy W, Steil JJ, Hammer B.  2018.  Maschinelles Lernen in technischen Systemen. Steigerung der Intelligenz mechatronischer Systeme. :pp.73-118.
Reinhart F, Steil JJ.  2011.  A constrained regularization approach for input-driven recurrent neural networks. Differential Equations and Dynamical Systems. 19:27–46.
Reinhart F, Steil JJ.  2012.  Regularization and stability in reservoir networks with output feedback. Neurocomputing. 90:96–105.
Reinhart F, Steil JJ.  2011.  Neural learning and dynamical selection of redundant solutions for inverse kinematic control. Proc. IEEE Int. Conf. Humanoid Robots. :564–569.
Reinhart F, Steil JJ.  2009.  Goal-directed movement generation with a transient-based recurrent neural network controller. Advanced Technologies for Enhanced Quality of Life. :112–117.
Reimer E..  2000.  Test 4 biblio - nach downgrade auf 1.2.
Reichler A-K, Gabriel F, Timmann F, Steil JJ, Dröder K.  2019.  An architecture for AutomationML-based constraint modelling and orchestration of Incremental Manufacturing. 7th CIRP Global Web Conference.
Rayyes R, Donat H, Steil JJ, Spranger M.  2021.  Interest-Driven Exploration with Observational Learning for Developmental Robots. IEEE Transactions on Cognitive and Developmental Systems .
Rayyes R, Kubus D, Steil JJ.  2018.  Multi-Stage Goal Babbling for Learning Inverse Models Simultaneously.. IROS workshop.
Rayyes R, Donat H, Steil JJ.  2020.  Hierarchical Interest-Driven Goal Babbling for Efficient Bootstrapping of Sensorimotor skills. ICRA . :1336-1342.
Rayyes R, Donat H, Steil JJ.  2022.  Efficient Online Interest-Driven Exploration for Developmental Robots. IEEE Trans. Cognitive and Developmental Systems. 14 (4):1367-1377.
Rayyes R, Steil JJ.  2019.  Online Associative Multi-Stage Goal Babbling Toward Versatile Learning of Sensorimotor Skills. Int. Conference Developmental Learning. :327-334.
Rayyes R, Donat H, Steil JJ.  2021.  Interest-Driven Exploration for Real Robot Applications: Sample-Efficiency, High-Accuracy, and Robustness.
Rayyes R, Kubus D, Hartmann C, Steil JJ.  2017.  Learning Inverse Statics Models Efficiently. arXiv.
Rayyes R.  2021.  Efficient and Stable Online Learning for Developmental Robots. PhD Thesis - Dr.-Ing
Rayyes R, Steil JJ.  2016.  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.
Rayyes R, Kubus D, Steil JJ.  2018.  Learning Inverse Statics Models Efficiently with Symmetry-Based Exploration. Frontiers in Neurorobotics.
Rana MAsif, Usman Z, Shareef Z.  2011.  Automatic control of ball and beam system using Particle Swarm Optimization. IEEE 12th International Symposium on Computational Intelligence and Informatics.
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Prüfer M., Schmidt C., Wahl F..  1995.  Processor Nets for Advanced Robot Control Applications. Proceedings of the 2nd International Symposium on Methods and Modelin Automation and Robotics. :549–554.

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