Biblio

Found 779 results
[ Author(Desc)] Title Type Year
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Prüfer M., Schmidt C., Wahl F..  1994.  Identification of Robot Dynamics with Differential and Integral Models: A Comparison. Proceedings of IEEE International Conference on Robotics and Automation. :340–345.
Prüfer M., Wahl F..  1993.  Online Identification of Dynamic Parameters for an Experimental 2-Link Direct Drive Arm. IASTED: International Conference on Robotics and Manufacturing. :9–12.
Prüfer M., Wahl F..  1994.  Friction Analysis and Modelling for Geared Robots. Proceedings of the Symposium on Robot Control (IFAC). :551–556.
Prüfer M., Mundhenke J..  1990.  Hard- und Software einer transputerbasierten Robotersteuerung.
Prüfer M., Wahl F..  1992.  Efficient and Versatile Flow of Video Data into a Transputer Network. From Theory to Sound Praxis, European Workshop on Parallel Computing. :422–431.
R
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.
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, 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, Kubus D, Steil JJ.  2018.  Learning Inverse Statics Models Efficiently with Symmetry-Based Exploration. Frontiers in Neurorobotics.
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.
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.
Reimer E..  2000.  Test 4 biblio - nach downgrade auf 1.2.
Reinhart F, Steil JJ.  2012.  Regularization and stability in reservoir networks with output feedback. Neurocomputing. 90:96–105.
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.
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.

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