Biblio

Found 783 results
[ Author(Asc)] Title Type Year
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R
Rilk M., Winkelbach S., Wahl F., Graf T., Schöning V..  2007.  Verfahren und Vorrichtung zur Detektion von nachfolgenden Fahrzeugen in einem Kraftfahrzeug.
Rilk M., Wahl F., Eichhorn K., Wagner I., Bootz F..  2009.  German Workshop on Robotics 2009, Braunschweig, 2009, Advances in Robotics Research. :263–274.
Rilk M., Winkelbach S., Wahl F..  2006.  Bildverarbeitung für die Medizin 2006. :414–418.
Rilk M., Bootz F., Wahl F..  2008.  Roboterassistierte Chirurgie im Nasenraum. VDE/VDI GMA-Fachausschuss 4.13.
Rieseler H..  1992.  Roboterkinematik - Grundlagen, Invertierung und Symbolische Berechnung.
Rieseler H., Wahl F..  1990.  Fast Symbolic Computation of the Inverse Kinematics of Robots. Proceedings IEEE International Conference on Robotics and Automation IEEE. :462–467.
Rieseler H., Haake S..  1989.  SKIP - A Symbolic Kinematics Inverversion Program.
Rieseler H., Schrake H., Wahl F..  1990.  Symbolic Computaion of Closed Form Solutions with Prototype Equitations. Proceedings 2nd International Workshop on Advances in Robot Kinematics. :343–351.
Rieseler H., Schrake H., Wahl F..  1991.  Fourth and Second Order Solutions for Robots with Planar Joint Set. Proceedings of the 14th IASTED International Symposium Manufacturing and Robotics. :111–114.
Riechmann W., Strutz T., Stahs T..  1992.  Einsatzmöglichkeiten des Codierten Lichtansatzes in der Automobilindustrie. Querschnittseminar Bildverarbeitung der Deutschen Gesellschaft für Zerstörungsfreie Prüfung e.V Berlin.
Richter M., Zech S., Westphal R., Klimesch Y., Gösling T..  2007.  Robotic cadaver testing of a new total ankle prosthesis model (german ankle system). Foot Ankle Int. 2007. :1276–1286.
Richter O, Reinhart F, Nease S, Steil JJ, Chicca E.  2015.  Device Mismatch in a Neuromorphic System Implements Random Features for Regression. Biomedical Circuits and Systems Conference (BioCAS), 2015 IEEE. :1–4.
Rhode M, Narioka K, Stein L, Steil JJ, Ernst M.  2019.  Goal-Related Feedback Guides Motor Exploration and Redundancy Resolution in Human Motor Skill Acquisition. PLOS Computational Biology. 15(3):1-27.
Rennekamp T., Homeier K., Kröger T..  2006.  Distributed Sensing and Prediction of Obstacle Motions for Mobile Robot Motion Planning. IEEE International Conference on Intelligent Robots and Systems. :4833–4838.
Rennekamp T..  2005.  Graphbasierte Bewegungsanalyse dynamischer Hindernisse zur Steuerung mobiler Roboter. Autonome Mobile Systeme 2005, 20. Fachgespräch Stuttgart. :295–301.
Rennekamp T..  2003.  Analyse und Kompensation von Fahrfehlern bei Mecanum-Wheel-Fahrzeugen. Autonome Mobile Systeme 2003, 19. Fachgespräch, Karlsruhe. :75–82.
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, 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.  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.
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.
Reinhart F, Steil JJ.  2011.  Reservoir regularization stabilizes learning of Echo State Networks with output feedback. Proc. European Symposium on Artificial Neural Networks. :59–64.

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