Tomas Kulvicius
Tomas Kulvicius
University of Goettingen, Third Institute of Physics - Biophysics, Dept. Computational Neuroscience
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Cited by
Cited by
Joining movement sequences: Modified dynamic movement primitives for robotics applications exemplified on handwriting
T Kulvicius, KJ Ning, M Tamosiunaite, F Worgötter
IEEE Transactions on Robotics 28 (1), 145-157, 2011
Adaptive, fast walking in a biped robot under neuronal control and learning
P Manoonpong, T Geng, T Kulvicius, B Porr, F Wörgötter
PLoS Computational Biology 3 (7), e134, 2007
Convexity based object partitioning for robot applications
SC Stein, F Wörgötter, M Schoeler, J Papon, T Kulvicius
2014 IEEE International Conference on Robotics and Automation (ICRA), 3213-3220, 2014
Interaction learning for dynamic movement primitives used in cooperative robotic tasks
T Kulvicius, M Biehl, MJ Aein, M Tamosiunaite, F Wörgötter
Robotics and Autonomous Systems 61 (12), 1450-1459, 2013
Real-time image segmentation on a GPU
A Abramov, T Kulvicius, F Wörgötter, B Dellen
Facing the multicore-challenge: aspects of new paradigms and technologies in …, 2010
The future of General Movement Assessment: The role of computer vision and machine learning–A scoping review
N Silva, D Zhang, T Kulvicius, A Gail, C Barreiros, S Lindstaedt, M Kraft, ...
Research in developmental disabilities 110, 103854, 2021
Point cloud video object segmentation using a persistent supervoxel world-model
J Papon, T Kulvicius, EE Aksoy, F Wörgötter
2013 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2013
Odor supported place cell model and goal navigation in rodents
T Kulvicius, M Tamosiunaite, J Ainge, P Dudchenko, F Wörgötter
Journal of computational neuroscience 25, 481-500, 2008
The Use of Hebbian Cell Assemblies for Nonlinear Computation
C Tetzlaff, S Dasgupta, T Kulvicius, F Wörgötter
Scientific Reports 5 (DOI: 10.1038/srep12866), 2015
Generic neural locomotion control framework for legged robots
M Thor, T Kulvicius, P Manoonpong
IEEE transactions on neural networks and learning systems 32 (9), 4013-4025, 2020
Novel AI driven approach to classify infant motor functions
S Reich, D Zhang, T Kulvicius, S Bölte, K Nielsen-Saines, FB Pokorny, ...
Scientific Reports 11 (1), 9888, 2021
CPG driven RBF network control with reinforcement learning for gait optimization of a dung beetle-like robot
M Pitchai, X Xiong, M Thor, P Billeschou, PL Mailänder, B Leung, ...
Artificial Neural Networks and Machine Learning–ICANN 2019: Theoretical …, 2019
Recognition and prediction of manipulation actions using enriched semantic event chains
F Ziaeetabar, T Kulvicius, M Tamosiunaite, F Wörgötter
Robotics and Autonomous Systems 110, 173-188, 2018
Context-based affordance segmentation from 2D images for robot actions
T Lueddecke, T Kulvicius, F Woergoetter
Robotics and Autonomous Systems 119, 92-107, 2019
Induction and consolidation of calcium-based homo-and heterosynaptic potentiation and depression
Y Li, T Kulvicius, C Tetzlaff
PloS one 11 (8), e0161679, 2016
Compliant ankles and flat feet for improved self-stabilization and passive dynamics of the biped robot “RunBot”
P Manoonpong, T Kulvicius, F Wörgötter, L Kunze, D Renjewski, ...
2011 11th IEEE-RAS International Conference on Humanoid Robots, 276-281, 2011
Path-finding in real and simulated rats: assessing the influence of path characteristics on navigation learning
M Tamosiunaite, J Ainge, T Kulvicius, B Porr, P Dudchenko, F Wörgötter
Journal of computational neuroscience 25, 562-582, 2008
Chained learning architectures in a simple closed-loop behavioural context
T Kulvicius, B Porr, F Wörgötter
Biological Cybernetics 97, 363-378, 2007
Generalizing objects by analyzing language
M Tamosiunaite, I Markelic, T Kulvicius, F Wörgötter
2011 11th IEEE-RAS International Conference on Humanoid Robots, 557-563, 2011
Behavioral analysis of differential hebbian learning in closed-loop systems
T Kulvicius, C Kolodziejski, M Tamosiunaite, B Porr, F Wörgötter
Biological cybernetics 103, 255-271, 2010
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