René Felix Reinhart

Orcid: 0000-0003-3305-1157

Affiliations:
  • Bielefeld University, Research Institute for Cognition and Robotics (CoR-Lab)


According to our database1, René Felix Reinhart authored at least 42 papers between 2009 and 2018.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2018
Time Series Classification in Reservoir- and Model-Space.
Neural Process. Lett., 2018

2017
Hybrid Analytical and Data-Driven Modeling for Feed-Forward Robot Control.
Sensors, 2017

Modelling of parametrized processes via regression in the model space of neural networks.
Neurocomputing, 2017

Autonomous exploration of motor skills by skill babbling.
Auton. Robots, 2017

Hyperarticulation aids learning of new vowels in a developmental speech acquisition model.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2016
Generalizing a learned inverse dynamic model of KUKA LWR IV+ for load variations using regression in the model space.
Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

Goal babbling of acoustic-articulatory models with adaptive exploration noise.
Proceedings of the 2016 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics, 2016

Incremental bootstrapping of parameterized motor skills.
Proceedings of the 16th IEEE-RAS International Conference on Humanoid Robots, 2016

Continuous task-priority rearrangement during motion execution with a mixture of torque controllers.
Proceedings of the 16th IEEE-RAS International Conference on Humanoid Robots, 2016

Modelling of parameterized processes via regression in the model space.
Proceedings of the 24th European Symposium on Artificial Neural Networks, 2016

Time Series Classification in Reservoir- and Model-Space: A Comparison.
Proceedings of the Artificial Neural Networks in Pattern Recognition, 2016

2015
Efficient policy search in low-dimensional embedding spaces by generalizing motion primitives with a parameterized skill memory.
Auton. Robots, 2015

A multi-level control architecture for the bionic handling assistant.
Adv. Robotics, 2015

Multiple task optimization with a mixture of controllers for motion generation.
Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

Effect of exploratory perturbation on the formation of kinematic synergies in Goal Babbling.
Proceedings of the 2015 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics, 2015

Device mismatch in a neuromorphic system implements random features for regression.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2015

2014
Neural learning of vector fields for encoding stable dynamical systems.
Neurocomputing, 2014

Efficient policy search with a parameterized skill memory.
Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014

An active compliant control mode for interaction with a pneumatic soft robot.
Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014

Dynamics identification of a damped multi elastic link robot arm under gravity.
Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

Learning how to speak: Imitation-based refinement of syllable production in an articulatory-acoustic model.
Proceedings of the 4th International Conference on Development and Learning and on Epigenetic Robotics, 2014

Self-supervised bootstrapping of a movement primitive library from complex trajectories.
Proceedings of the 14th IEEE-RAS International Conference on Humanoid Robots, 2014

2013
Multi-directional continuous association with input-driven neural dynamics.
Neurocomputing, 2013

Rare Neural Correlations Implement Robotic Conditioning with Delayed Rewards and Disturbances.
Frontiers Neurorobotics, 2013

Learning the rules of a game: Neural conditioning in human-robot interaction with delayed rewards.
Proceedings of the 2013 IEEE Third Joint International Conference on Development and Learning and Epigenetic Robotics, 2013

Learning versatile sensorimotor coordination with goal babbling and neural associative dynamics.
Proceedings of the 2013 IEEE Third Joint International Conference on Development and Learning and Epigenetic Robotics, 2013

Neurally imprinted stable vector fields.
Proceedings of the 21st European Symposium on Artificial Neural Networks, 2013

2012
Reservoir computing with output feedback.
PhD thesis, 2012

Online learning and generalization of parts-based image representations by non-negative sparse autoencoders.
Neural Networks, 2012

Reservoir Computing with Output Feedback - A Dynamical System Approach to Inverse Modeling.
Künstliche Intell., 2012

Regularization and stability in reservoir networks with output feedback.
Neurocomputing, 2012

Learning whole upper body control with dynamic redundancy resolution in coupled associative radial basis function networks.
Proceedings of the 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012

Representation and generalization of bi-manual skills from kinesthetic teaching.
Proceedings of the 12th IEEE-RAS International Conference on Humanoid Robots (Humanoids 2012), Osaka, Japan, November 29, 2012

Balancing of neural contributions for multi-modal hidden state association.
Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012

2011
State Prediction: A Constructive Method to Program Recurrent Neural Networks.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2011, 2011

Neural learning and dynamical selection of redundant solutions for inverse kinematic control.
Proceedings of the 11th IEEE-RAS International Conference on Humanoid Robots (Humanoids 2011), 2011

Reservoir regularization stabilizes learning of Echo State Networks with output feedback.
Proceedings of the 19th European Symposium on Artificial Neural Networks, 2011

2010
Recurrence Enhances the Spatial Encoding of Static Inputs in Reservoir Networks.
Proceedings of the Artificial Neural Networks, 2010

Tacking Reduces Bow-diving of High-Speed Unmanned Sea Surface Vehicles.
Proceedings of the 2010 International Conference on Emerging Security Technologies, 2010

Efficient online learning of a non-negative sparse autoencoder.
Proceedings of the 18th European Symposium on Artificial Neural Networks, 2010

2009
Reaching movement generation with a recurrent neural network based on learning inverse kinematics for the humanoid robot iCub.
Proceedings of the 9th IEEE-RAS International Conference on Humanoid Robots, 2009

Attractor-based computation with reservoirs for online learning of inverse kinematics.
Proceedings of the 17th European Symposium on Artificial Neural Networks, 2009


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