Biblio

Found 783 results
Author Title [ Type(Asc)] Year
Conference Paper
Steil JJ.  2005.  Memory in Backpropagation-Decorrelation O(N) Efficient Online Recurrent Learning. LNCS. 3697:649–654.
Wagner I., Westphal R., Kunkel M., Wahl F., Bootz F., Eichhorn K..  2005.  Measurement of soft tissue properties in ex vivo preparations for the development of robotic assisted functional endoscopic sinus surgery. CURAC 2005, Computer- und Roboterassistierte Chirurgie.
Steil JJ, Ritter H.  1999.  Maximisation of stability ranges for recurrent neural networks subject to on-line adaptation. Proc. European Symposium Artificial Neural Networks. :369–374.
Haus J.N, Muxfeldt A., Kubus D..  2016.  Material comparison and design of low cost modular tactile surface sensors for industrial manipulators. 2016 IEEE 21st International Conference on Emerging Technologies and Factory Automation (ETFA).
Rolf M, Steil JJ, Gienger M.  2010.  Mastering Growth while Bootstrapping Sensorimotor Coordination. Int. Conf. on Epigenetic Robotics.
Kröger T., Finkemeyer B., Winkelbach S., Eble L., Molkenstruck S., Wahl F..  2008.  A Manipulator Plays Jenga. IEEE Robotics and Automation Magazine. 15:79–84.
Schrake H., Rieseler H., Wahl F..  1991.  Manipulator Classification by Means of a Kinematics Description Language. Proceedings of the 5th International Conference on Advanced Robotics. :678–682.
Kröger T., Wahl F..  2010.  Low-Level Control of Robot Manipulators: Sensor-Guided Control and On-Line Trajectory Generation. Workshop on Innovative Robot Control Architectures for Demanding (Research) Applications - How to Modify and Enhance Commercial Controllers at the IEEE Int. Conf. on Robotics and Automation. :46–53.
Kubus D., Sommerkorn A., Kröger T., Maaß J., Wahl F..  2010.  Low-Level Control of Robot Manipulators: Distributed Open Real-Time Control Architectures for Stäubli RX and TX Manipulators. Workshop on Innovative Robot Control Architectures for Demanding (Research) Applications - How to Modify and Enhance Commercial Controllers at the IEEE Int. Conf. on Robotics and Automation. :pp38–45.
Osypiuk R., Kröger T..  2008.  A Low-Cost Hexa Platform for Efficient Force Control Systems Using Industrial Manipulators. The 4th International Conference Mechatronic Systems and Materials. :3–4.
Testarossa T..  1999.  Lorem ipsum dolor sit amet.
Spehr J., Gövercin M., Winkelbach S., Steinhagen-Thiessen E., Wahl F..  2008.  Long-Term Evaluation of a Visual Fall Detection System in a Real Home Environment. 1. Gemeinsamer Kongress der DGG / ÖGGG und der DGGG / SGG.
Last C., Winkelbach S., Wahl F., Eichhorn K., Bootz F..  2011.  A Locally Deformable Statistical Shape Model. MLMI 2011, LNCS. 7009:51–58.
Iser R., Martens A., Wahl F..  2010.  Localization of Mobile Robots Using Incremental Local Maps. Proc. of IEEE Int. Conf. on Robotics and Automation. :4873–4880.
Steil JJ.  2000.  Local input-output stability of recurrent networks with time-varying weights. Proc. European Symposium Artificial Neural Networks. :281–286.
Reinhart F, Steil JJ.  2012.  Learning Whole Upper Body Control with Dynamic Redundancy Resolution in Coupled Associative Radial Basis Function Networks. IROS. :1487–1492.
Freire A, Lemme A, Steil JJ, Baretto G.  2012.  Learning visuo-motor coordination for pointing without depth calculation. Proc. European Symposium on Artificial Neural Networks. :91–96.
Bruno D, Calinon S, Malekzadeh MS, Caldwell DG.  2015.  Learning the stiffness of a continuous soft manipulator from multiple demonstrations. International Conference on Intelligent Robotics and Applications.
Soltoggio A, Reinhart F, Lemme A, Steil JJ.  2013.  Learning the rules of a game: neural conditioning in human-robot interaction with delayed rewards.
Kober J, Gienger M, Steil JJ.  2015.  Learning Movement Primitives for Force Interaction Tasks. ICRA. :3192–3199.
Weirich A, Haumann C, Steil JJ, Schüler S..  2011.  Learning Lab - Physical Interaction with Humanoid Robots for Pupils. Proc. Robotics in Education. :21–28.
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
Alizadeh T, Malekzadeh MS, Barzegari S..  2016.  Learning from demonstration with partially observable task parameters using dynamic movement primitives and Gaussian process regression. 2016 IEEE International Conference on Advanced Intelligent Mechatronics (AIM).
Kubus D, Rayyes R, Steil JJ.  2018.  Learning Forward and Inverse Kinematics Maps Efficiently. IROS 2018.
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.

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