Biblio

Found 238 results
Author Title Type [ Year(Desc)]
Filters: First Letter Of Last Name is R  [Clear All Filters]
2010
Rolf M, Steil JJ, Gienger M.  2010.  Bootstrapping inverse Kinematics with Goal Babbling. :147–154.
Dietrich F., Buchholz D., Wobbe F., Sowinski F., Raatz A., Schumacher W., Wahl F..  2010.  On Contact Models for Assembly Tasks: Experimental Investigation Beyond the Peg-in-Hole Problem on the Example of Force-Torque Maps. IEEE Int. Conf. on Intelligent Robots and Systems. :2313–2118.
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.
Lemme A, Reinhart F, Steil JJ.  2010.  Efficient online learning of a non-negative sparse autoencoder. European Symposium Artificial Neural Networks. :1–6.
Dietrich F., Wobbe F., Buchholz D., Sowinski F., Raatz A., Schumacher W., Wahl F..  2010.  Enhancements of Force-Torque Map Based Assembly Applied to Parallel Robots. Proc. of IEEE International Conference on Industrial Technology. :469–474.
Rolf M, Steil JJ, Gienger M..  2010.  Goal Babbling permits direct learning of inverse kinematics. IEEE Trans. Autonomous Mental Development. 2:216–229.
Wrede S, Johannfunke M, Lemme A, Nordmann A, Rüther S, Weirich A, Steil JJ.  2010.  Interactive Learning of Inverse Kinematics with Nullspace Constraints using Recurrent Neural Networks. Proc. 20. Workshop on Computational Intelligence.
Rolf M, Steil JJ, Gienger M.  2010.  Learning Flexible Full Body Kinematics for Humanoid Tool Use. Int. Symp. Learning and Adaptive Behavior in Robotic Systems (Best Paper Award). :171–176.
Neumann K, Rolf M, Steil JJ, Gienger M.  2010.  Learning Inverse Kinematics for Pose-Constraint Bi-Manual Movements. From Animals to Animats 11. 11th International Conference on Simulation of Adaptive Behavior, SAB 2010. Proceedings. 6226
Rolf M, Steil JJ, Gienger M.  2010.  Mastering Growth while Bootstrapping Sensorimotor Coordination. Int. Conf. on Epigenetic Robotics.
Ritter H, Steil JJ, Sagerer G.  2010.  Mit Kopf, Körper und Hand: Herausforderungen Humanoider Roboter. Automatisierungstechnik, special issue on "humnoid robotics". 58:630–638.
Steffen JFrederik, Pardowitz M, Steil JJ, Ritter H.  2010.  Neural competition for motion segmentation. 18th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN). :59–64.
Emmerich C, Reinhart F, Steil JJ.  2010.  Recurrence Enhances the Spatial Encoding of Static Inputs in Reservoir Networks. Proc. Int. Conf. Artificial Neural Networks. :148–153.
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.
2011
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.
Reinhart F, Steil JJ.  2011.  A constrained regularization approach for input-driven recurrent neural networks. Differential Equations and Dynamical Systems. 19:27–46.
Spehr J., Rosebrock D., Mossau D., Auer R., Brosig S., Wahl F..  2011.  Hierarchical Scene Understanding for Intelligent Vehicles. Proc. of IEEE Intelligent Vehicles Symposium (IV),. :1142–1147.
Steffen JFrederik, Pardowitz M, Steil JJ, Ritter H.  2011.  Integrating Feature Maps and Competitive Layer Architectures For Motion Segmentation. Neurocomputing. 74:1372–1381.
Ritter H, Haschke R, Röthling F, Steil JJ.  2011.  Manual Intelligence as a Rosetta Stone for Robot Cognition. Robotics Research. 66:135–146.
Ritter H, Haschke R, Röthling F, Steil JJ.  2011.  Manual Intelligence as a Rosetta Stone for Robot Cognition. Robotics Research. 66:135–146.
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.
Rolf M, Steil JJ, Gienger M.  2011.  Online Goal Babbling for rapid bootstrapping of inverse models in high dimensions. IEEE Int. Conf. Development and Learning and on Epigenetic Robotics (best student paper award). 2:1–8.
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.

Pages