Publications
- C. W. Rempis, Hazem Toutounji, Frank Pasemann, “Evaluating Neuromodulator-Controlled Stochastic Plasticity for Learning Recurrent Neural Control Networks”, in Proceedings of the 5th International Joint Conference on Computational Intelligence, pp. 489-496, 2013
BibTex - DOI
- C. W. Rempis, Manfred Hild, Frank Pasemann, “Enhancing the neuro-controller design process for the myon humanoid robot”, Technical Report, University of Osnabrück, Germany, urn:nbn:de:gbv:700-2013071711000, 2013
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- C. W. Rempis, Hazem Toutounji, Frank Pasemann, “Controlling the Learning of Behaviors in the Sensorimotor Loop with Neuromodulators in Self-Monitoring Neural Networks ”, at the Autonomous Learning Workshop at ICRA 2013, 2013
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- C. W. Rempis, “A Neural Network to Capture Demonstrated Motions on a Humanoid Robot to Rapidly Create Complex Central Pattern Generators as Reusable Neural Building Blocks”, in Proceedings of the International Conference on Robotics and Automation (ICRA 2013), pp. 5291 - 5296, 2013
IEEE Xplore - DOI - Videos
- C. W. Rempis, Evolving Complex Neuro-Controllers with Interactively Constrained Neuro-Evolution. PhD thesis, Osnabrück University, October 2012, urn:nbn:de:gbv:700-2012101710370
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- C. W. Rempis and F. Pasemann, “An interactively constrained neuro-evolution approach for behavior control of complex robots”, in Variants of Evolutionary Algorithms for Real-World Applications (R. Chiong, T. Weise, and Z. Michalewicz, eds.), pp. 305-341, Springer, 2012
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- F. Pasemann, C. W. Rempis, and A. von Twickel, “Evolving humanoid behaviors for language games”, in Language Grounding in Robots (L. Steels and M. Hild, eds.), pp. 67-86, Springer US, 2012.
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- C. W. Rempis and F. Pasemann, “Evolving variants of neuro-control using constraint masks”, in From Animals to Animats 12 (T. Ziemke, C. Balkenius, and J. Hallam, eds.), vol. 7426 of Lecture Notes in Computer Science, pp. 187-197, Springer Berlin / Heidelberg, 2012. 10.1007/978-3-642-33093-3_19.
PDF - Web - BibTex - Supplemental Material
- C. W. Rempis and F. Pasemann, “Search space restriction of neuro-evolution through constrained modularization of neural networks”, in Proceedings of the 6th International Workshop on Artificial Neural Networks and Intelligent Information Processing (ANNIIP), in Conjunction with ICINCO 2010. (K. Mandai, ed.), (Madeira, Portugal), pp. 13-22, SciTePress, June 2010
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- C. W. Rempis, V. Thomas, F. Bachmann, and F. Pasemann, “NERD - Neurodynamics and Evolutionary Robotics Development Kit”, in SIMPAR 2010 (N. A. et al., ed.), vol. 6472 of Lecture Notes in Artificial Intelligence, pp. 121-132, Springer, Heidelberg, 2010.
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- C. W. Rempis, “Short-term memory structures in additive recurrent neural networks,” Master's thesis, University of Applied Sciences Bonn-Rhein-Sieg, 2007.
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- C. W. Rempis, "Entwicklung einer Kontrollarchitektur für die verhaltensbasierte Programmierung autonomer Roboter", Diploma Thesis, University of Applied Sciences Trier, Department of Computer Science, 2004.
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