Klaus Neumann
PEVZ-ID
16 Publikationen
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2024 | Preprint | Eingereicht | PUB-ID: 2994268Bergmann L, Leins D, Haschke R, Neumann K. Precision-Focused Reinforcement Learning Model for Robotic Object Pushing. Submitted.PUB | DOI | Download (ext.)
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2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2685050Queißer J, Neumann K, Rolf M, Reinhart F, Steil JJ. An Active Compliant Control Mode for Interaction with a Pneumatic Soft Robot. In: 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2014). IEEE; 2014: 573-579.PUB | PDF | DOI
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2014 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2900710Unger A, Sextro W, Althoff S, et al. Modeling the Ultrasonic Softening Effect for Robust Copper Wire Bonding. In: 8th International Conference on Integrated Power Electronics Systems, Proceedings, February, 25-27, 2014 Nuremberg/Germany. ETG-Fachbericht. Vol 141. VDE-Verlag; 2014.PUB | PDF
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2012 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2465819Neumann K, Steil JJ. Intrinsic Plasticity via Natural Gradient Decent. In: Verleysen M, ed. 20th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2012). Proceedings. Louvain-la-Neuve: Ciaco; 2012: 555-560.PUB | PDF
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2011 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2141968Neumann K, Steil JJ. Batch Intrinsic Plasticity for Extreme Learning Machines. In: Honkela T, Duch W, Girolami M, Kaski S, eds. Artificial Neural Networks and Machine Learning – ICANN 2011. Pt. 1. Lecture notes in computer science. Vol 6791. Springer; 2011: 339-346.PUB | PDF | DOI
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2010 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2142025Neumann K, Rolf M, Steil JJ, Gienger M. Learning Inverse Kinematics for Pose-Constraint Bi-Manual Movements. In: Doncieux S, Girard B, Guillot A, Hallam J, Meyer J-A, Mouret J-B, eds. From Animals to Animats 11. 11th International Conference on Simulation of Adaptive Behavior, SAB 2010. Proceedings. Lecture notes in computer science. Vol 6226. Springer; 2010.PUB | PDF | DOI