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Russo M, D’Andola M, Portone A, Lacquaniti F, d'Avella A. Dimensionality of joint torques and muscle patterns for reaching. Front Comput Neurosci. 2014 ;8.
Rückert EA, Neumann G. A study of Morphological Computation by using Probabilistic Inference for Motor Planning. In: 2nd International Conference on Morphological Computation (ICMC2011). 2nd International Conference on Morphological Computation (ICMC2011). Venice, Italy; 2011. pp. 51–53. Available from: http://eprints.pascal-network.org/archive/00008757/01/AICOMorphComp.pdf
Rückert E, d'Avella A. Learned parametrized dynamic movement primitives with shared synergies for controlling robotic and musculoskeletal systems. Frontiers in Computational Neuroscience (Special Issue on Modularity in motor control: from muscle synergies to cognitive action representation) [Internet]. 2013 ;7:138. Available from: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3797962/
Rückert EA, d'Avella A. Learned Muscle Synergies as Prior in Dynamical Systems for Controlling Bio-mechanical and Robotic Systems. In: Abstracts of Neural Control of Movement Conference (NCM 2013). Abstracts of Neural Control of Movement Conference (NCM 2013). ; 2013. Available from: http://eprints.pascal-network.org/archive/00009898/
Rückert EA, Neumann G. Stochastic Optimal Control Methods for Investigating the Power of Morphological Computation. Artificial Life (Special Issue on Morphological Computation) [Internet]. 2012 ;19:115–131. Available from: http://www.ias.informatik.tu-darmstadt.de/uploads/Site/EditPublication/r%fcckert2012_artificiallife.pdf
Rückert EA, Neumann G, Toussaint M, Maass W. Learned graphical models for probabilistic planning provide a new class of movement primitives. Frontiers in Computational Neuroscience (Special Issue on Modularity in motor control: from muscle synergies to cognitive action representation) [Internet]. 2013 ;6. Available from: http://www.frontiersin.org/computational_neuroscience/10.3389/fncom.2012.00097/abstract
Reinhart RF, Steil JJ. Learning Whole Upper Body Control with Dynamic Redundancy Resolution in Coupled Associative Radial Basis Function Networks. In: IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE/RSJ International Conference on Intelligent Robots and Systems. ; 2012. Available from: http://www.cor-lab.de/system/files/ReinhartSteil-IROS2012.pdf
Reinhart RF, Steil JJ. Neural learning and dynamical selection of redundant solutions for inverse kinematic control. In: IEEE-RAS International Conference on Humanoid Robots (Humanoids). IEEE-RAS International Conference on Humanoid Robots (Humanoids). ; 2011. pp. 564-569. Available from: http://www.cor-lab.de/system/files/ReinhartSteil-Humanoids2011.pdf
Reinhart RF, Rolf M. Learning versatile sensorimotor coordination with goal babbling and neural associative dynamics. In: IEEE Joint International Conference on Development and Learning and Epigenetic Robotics (ICDL). IEEE Joint International Conference on Development and Learning and Epigenetic Robotics (ICDL). ; 2013. Available from: http://www.cor-lab.uni-bielefeld.de/system/files/ReinhartRolf2013-ICDL.pdf
Reinhart RF, Steil JJakob. Efficient policy search in low-dimensional embedding spaces by generalizing motion primitives with a parameterized skill memory. Autonomous Robots [Internet]. 2014 . Available from: http://dx.doi.org/10.1007/s10514-014-9417-9
Reinhart RF, Lemme A, Steil JJ. Representation and Generalization of Bi-manual Skills from Kinesthetic Teaching. In: IEEE-RAS International Conference on Humanoid Robots (Humanoids). IEEE-RAS International Conference on Humanoid Robots (Humanoids). ; 2012. Available from: http://www.cor-lab.de/system/files/ReinhartLemmeSteil-Humanoids2012_preprint.pdf
Reinhart RF, Steil JJ. Regularization and stability in reservoir networks with output feedback. Neurocomputing [Internet]. 2012 ;90:96-105. Available from: http://www.sciencedirect.com/science/article/pii/S0925231212001749
R. Reinhart F, Steil JJ. Efficient Policy Search with a Parameterized Skill Memory. In: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). ; 2014.

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