Biblio

Found 779 results
[ Author(Desc)] Title Type Year
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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.
Prüfer M..  1993.  Parallel and Distributed Computing on Transputers for Advanced Robot Control. Proceedings of the International Workshop: Software Engineering for Parallel Real-Time Systems. :59–62.
Prüfer M., Mundhenke J..  1992.  Parallele Datenverarbeitung mit dem Transputer. :57–59.
Prüfer M., Wahl F..  1990.  Parallele Datenverarbeitung mit dem Transputer. Informatik - Fachberichte. :168-188.
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.
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, 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.
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.  2015.  Efficient Policy Search in Low-dimensional Embedding Spaces by Generalizing Motion Primitives with a Parameterized Skill Memory. Autonomous Robots. 38:331–348.
Reinhart F, Steil JJ.  2008.  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.
Reinhart F, Steil JJ.  2012.  Learning Whole Upper Body Control with Dynamic Redundancy Resolution in Coupled Associative Radial Basis Function Networks. IROS. :1487–1492.

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