Found 779 results
[ Author(Desc)] Title Type Year
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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.
Prüfer M., Schmidt C..  1996.  Practical Aspects of Robot Dynamics Identification. Proceedings of the 3rd Int. Symposium on Methods and Models in Automation and Robotics. :971–976.
Prüfer M., Wahl F..  1992.  A Transputer Based Robot Control Architecture. MICROSYSTEM. :48–53.
Prüfer M., Wahl F..  1993.  Analyse und Vorkompensation von Reibungseffekten bei Industrierobotern mit Getrieben. VDI-Berichte 1094 VDI/VDE-GMA. :597–604.
Prüfer M..  1996.  Reibungsanalyse und Identifikation von Dynamikparametern bei direkt angetriebenen und getriebebehafteten Robotern. Fortschritte in der Robotik. 1
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.  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, Donat H, Steil JJ.  2021.  Interest-Driven Exploration for Real Robot Applications: Sample-Efficiency, High-Accuracy, and Robustness.
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, 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.
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.
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, Huntsberger TL, Stoica A.  2010.  Tacking reduces bow-diving of high-speed unmanned sea surface vehicles. Int. Symp. Learning and Adaptive Behavior in Robotic Systems. :177–182.
Reinhart F, Lemme A, Steil JJ.  2012.  Representation and Generalization of Bi-manual Skills from Kinesthetic Teaching. IEEE-RAS International Conference on Humanoid Robots. :560–567.
Reinhart F, Steil JJ.  2016.  Hybrid Mechanical and Data-driven Modeling Improves Inverse Kinematic Control of a Soft Robot. Procedia Technology. 26:12–19.