Wolfram Erlhagen

According to our database1, Wolfram Erlhagen authored at least 49 papers between 1995 and 2021.

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

Timeline

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PhD thesis 
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Bibliography

2021
A neural integrator model for planning and value-based decision making of a robotics assistant.
Neural Comput. Appl., 2021

Continual Learning of Human-like Arm Postures.
Proceedings of the IEEE International Conference on Development and Learning, 2021

Towards Endowing Intelligent Cars with the Ability to Learn the Routines of Multiple Drivers: A Dynamic Neural Field Model.
Proceedings of the Computational Science and Its Applications - ICCSA 2021, 2021

Dynamic Identification of Stop Locations from GPS Trajectories Based on Their Temporal and Spatial Characteristics.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

2020
Human-Like Arm Motion Generation: A Review.
Robotics, 2020

A safe autonomous stacker in human shared workspaces <sup>*</sup>.
Proceedings of the 46th Annual Conference of the IEEE Industrial Electronics Society, 2020

A Deep Learning Approach for Intelligent Cockpits: Learning Drivers Routines.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2020, 2020

Gait Characteristics and Their Discriminative Ability in Patients with Fabry Disease with and Without White-Matter Lesions.
Proceedings of the Computational Science and Its Applications - ICCSA 2020, 2020

2019
Attractor dynamics approach to joint transportation by autonomous robots: theory, implementation and validation on the factory floor.
Auton. Robots, 2019

Towards Endowing Collaborative Robots with Fast Learning for Minimizing Tutors' Demonstrations: What and When to Do?
Proceedings of the Robot 2019: Fourth Iberian Robotics Conference, 2019

Motion Control for Autonomous Tugger Vehicles in Dynamic Factory Floors Shared with Human Operators.
Proceedings of the IECON 2019, 2019

Automatic Denavit-Hartenberg Parameter Identification for Serial Manipulators.
Proceedings of the IECON 2019, 2019

Neural Field Model for Measuring and Reproducing Time Intervals.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Theoretical Neural Computation, 2019

Gait classification of patients with Fabry's disease based on normalized gait features obtained using multiple regression models.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

2018
Numerical simulations of two-dimensional neural fields with applications to working memory.
Proceedings of the 16th European Control Conference, 2018

Artificial Neural Networks Classification of Patients with Parkinsonism based on Gait.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2017
Towards temporal cognition for robots: A neurodynamics approach.
Proceedings of the 2017 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics, 2017

A software framework for the implementation of Dynamic Neural Field control architectures for human-robot interaction.
Proceedings of the 2017 IEEE International Conference on Autonomous Robot Systems and Competitions, 2017

2016
Experiential Learning of Robotics Fundamentals Based on a Case Study of Robot-Assisted Stereotactic Neurosurgery.
IEEE Trans. Educ., 2016

Combining intention and emotional state inference in a dynamic neural field architecture for human-robot joint action.
Adapt. Behav., 2016

Multi-constrained joint transportation tasks by teams of autonomous mobile robots using a dynamical systems approach.
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

Combining Spatial and Parametric Working Memory in a Dynamic Neural Field Model.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2016, 2016

MUVTIME: A Multivariate Time Series Visualizer for Behavioral Science.
Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2016), 2016

2015
Off-line simulation inspires insight: A neurodynamics approach to efficient robot task learning.
Neural Networks, 2015

Learning joint representations for order and timing of perceptual-motor sequences: A dynamic neural field approach.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

2014
Special session: Dynamic interactions between visual experiences, actions and word learning.
Proceedings of the 4th International Conference on Development and Learning and on Epigenetic Robotics, 2014

Learning a musical sequence by observation: A robotics implementation of a dynamic neural field model.
Proceedings of the 4th International Conference on Development and Learning and on Epigenetic Robotics, 2014

2013
Transportation of long objects in unknown cluttered environments by a team of robots: A dynamical systems approach.
Proceedings of the 22nd IEEE International Symposium on Industrial Electronics, 2013

2012
Multi-robot cognitive formations.
Proceedings of the 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012

The power of prediction: Robots that read intentions.
Proceedings of the 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012

2011
Nonlinear Optimization for Human-Like Movements of a High Degree of Freedom Robotics Arm-Hand System.
Proceedings of the Computational Science and Its Applications - ICCSA 2011, 2011

A Dynamic Field Model of Ordinal and Timing Properties of Sequential Events.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2011, 2011

2010
Integrating verbal and nonverbal communication in a dynamic neural field architecture for human-robot interaction.
Frontiers Neurorobotics, 2010

2008
Implementing Bayes' Rule with Neural Fields.
Proceedings of the Artificial Neural Networks, 2008

Joint action in man and autonomous systems.
Proceedings of the 3rd ACM/IEEE international conference on Human robot interaction, 2008

2007
Object transportation by multiple mobile robots controlled by attractor dynamics: theory and implementation.
Proceedings of the 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems, October 29, 2007

2006
Goal-directed imitation for robots: A bio-inspired approach to action understanding and skill learning.
Robotics Auton. Syst., 2006

Goals and means in action observation: A computational approach.
Neural Networks, 2006

Robust persistent activity in neural fields with asymmetric connectivity.
Neurocomputing, 2006

2005
Autonomous flight trajectory generation via attractor dynamics.
Proceedings of the 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2005

Action Understanding and Imitation Learning in a Robot-Human Task.
Proceedings of the Artificial Neural Networks: Biological Inspirations, 2005

2003
Internal models for visual perception.
Biol. Cybern., 2003

2002
A neural field model for saccade planning in the superior colliculus: speed-accuracy tradeoff in the double-target paradigm.
Neurocomputing, 2002

Evolving field models for inhibition effects in early vision.
Neurocomputing, 2002

2001
Optimization of dynamic neural fields.
Neurocomputing, 2001

1997
Lokalisierte, stationäre Verteilung in neuronalen Feldern: Modellierung experimenteller Befunde zur Planung und Kontrolle zielgerichteter Bewegungen.
PhD thesis, 1997

1996
Population Coding in Cat Visual Cortex Reveals Nonlinear Interactions as Predicted by a Neural Field Model.
Proceedings of the Artificial Neural Networks, 1996

1995
Dynamic Representations Provide the Gradual Specification of Movement Parameters.
Proceedings of the Neural Networks: Artificial Intelligence and Industrial Applications, 1995

Propagation of Synfire Activity in Cortical Networks - a Dynamical Systems Approach.
Proceedings of the Neural Networks: Artificial Intelligence and Industrial Applications, 1995


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