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Hybrid Analytical and Data-Driven Modeling for Feed-Forward Robot Control

Sensors (Basel, Switzerland), 2017-02, Vol.17 (2), p.311-311

2017

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Online learning and generalization of parts-based image representations by non-negative sparse autoencoders

Neural networks, 2012-09, Vol.33, p.194-203

2012

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Efficient policy search in low-dimensional embedding spaces by generalizing motion primitives with a parameterized skill memory

Autonomous robots, 2015-04, Vol.38 (4), p.331-348

2015

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Regularization and stability in reservoir networks with output feedback

Neurocomputing (Amsterdam), 2012-08, Vol.90, p.96-105

2012

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Multi-directional continuous association with input-driven neural dynamics

Neurocomputing (Amsterdam), 2013-07, Vol.112, p.47-57

2013

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Modelling of parametrized processes via regression in the model space of neural networks

Neurocomputing (Amsterdam), 2017-12, Vol.268, p.55-63

2017

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Hybrid Mechanical and Data-driven Modeling Improves Inverse Kinematic Control of a Soft Robot

Procedia technology, 2016, Vol.26, p.12-19

2016

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Multi-directional continuous association with input-driven neural dynamics: Advances in artificial neural networks, machine learning, and computational intelligence: Selected papers from the 20th European Symposium on Artificial Neural Networks (ESSANN 2012)

Neurocomputing (Amsterdam), 2013, Vol.112, p.47-57

2013

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Efficient policy search with a parameterized skill memory

2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014, p.1400-1407

2014

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Learning whole upper body control with dynamic redundancy resolution in coupled associative radial basis function networks

2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012, p.1487-1492

2012

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State Prediction: A Constructive Method to Program Recurrent Neural Networks

Artificial Neural Networks and Machine Learning – ICANN 2011, p.159-166

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Recurrence Enhances the Spatial Encoding of Static Inputs in Reservoir Networks

Artificial Neural Networks – ICANN 2010, p.148-153

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Incremental bootstrapping of parameterized motor skills

2016 IEEE-RAS 16th International Conference on Humanoid Robots (Humanoids), 2016, p.223-229

2016

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Effect of exploratory perturbation on the formation of kinematic synergies in Goal Babbling

2015 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob), 2015, p.86-91

2015

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Neural learning and dynamical selection of redundant solutions for inverse kinematic control

2011 11th IEEE-RAS International Conference on Humanoid Robots, 2011, p.564-569

2011

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Plug, Plan and Produce as Enabler for Easy Workcell Setup and Collaborative Robot Programming in Smart Factories

KI. Künstliche Intelligenz (Oldenbourg), 2019-06, Vol.33 (2), p.151-161

2019

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Representation and generalization of bi-manual skills from kinesthetic teaching

2012 12th IEEE-RAS International Conference on Humanoid Robots (Humanoids 2012), 2012, p.560-567

2012

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Hybrid Analytical and Data-Driven Modeling for Feed-Forward Robot Control

Online learning and generalization of parts-based image representations by non-negative sparse autoencoders

Efficient policy search in low-dimensional embedding spaces by generalizing motion primitives with a parameterized skill memory

Regularization and stability in reservoir networks with output feedback

Multi-directional continuous association with input-driven neural dynamics

Modelling of parametrized processes via regression in the model space of neural networks

Hybrid Mechanical and Data-driven Modeling Improves Inverse Kinematic Control of a Soft Robot

Multi-directional continuous association with input-driven neural dynamics: Advances in artificial neural networks, machine learning, and computational intelligence: Selected papers from the 20th European Symposium on Artificial Neural Networks (ESSANN 2012)

Efficient policy search with a parameterized skill memory

Learning whole upper body control with dynamic redundancy resolution in coupled associative radial basis function networks

State Prediction: A Constructive Method to Program Recurrent Neural Networks

Recurrence Enhances the Spatial Encoding of Static Inputs in Reservoir Networks

Incremental bootstrapping of parameterized motor skills

Effect of exploratory perturbation on the formation of kinematic synergies in Goal Babbling

Neural learning and dynamical selection of redundant solutions for inverse kinematic control

Plug, Plan and Produce as Enabler for Easy Workcell Setup and Collaborative Robot Programming in Smart Factories

Representation and generalization of bi-manual skills from kinesthetic teaching

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