Biblio

Found 787 results
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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.
Rilk M., Winkelbach S., Wahl F., Graf T., Schöning V..  2007.  Towards Time to Collision Estimation With a Rear Camera. AAET 2007: 8. Symposium zum Thema Automatisierungssysteme, Assistenzsysteme und eingebettete Systeme für Transportmittel GZVB. :325–341.
Rilk M., Kubus D., Wahl F., Eichhorn K., Wagner I., Bootz F..  2010.  Demonstration of a Prototype for Robot Assisted Endoscopic Sinus Surgery. International Conference on Robotics and Automation (ICRA). :1090–1091.
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 O, Drewitz U, Haux R, Heuser S, Kacprowski T, Steil JJ.  2025.  Zusammenwirken von natürlicher und künstlicher Intelligenz: Beurteilen - Messen - Bewerten.
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.
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.
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..  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.
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.
Reinhart F, Steil JJ.  2014.  Efficient Policy Search with a Parameterized Skill Memory. :1400–1407.
Reinhart F, Steil JJ.  2011.  State prediction: a constructive method to program recurrent neural networks. Artificial Neural Networks and Machine Learning – ICANN 2011 : 21st International Conference on Artificial Neural Networks, Espoo, Finland, June 14-17, 2011, Proceedings, Part I. 6791:159–166.
Reinhart F, Steil JJ.  2009.  Reaching movement generation with a recurrent neural network based on learning inverse kinematics for the humanoid robot iCub. IEEE Conf. Humanoid Robotics. :323–330.
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, Neumann K, Aswolinskiy W, Steil JJ, Hammer B.  2018.  Maschinelles Lernen in technischen Systemen. Steigerung der Intelligenz mechatronischer Systeme. :pp.73-118.
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.
Reinhart F, Steil JJ.  2009.  Attractor-based computation with reservoirs for online learning of inverse kinematics. European Symposium Artificial Neural Networks (ESANN). :257–262.

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