Wolfram Erlhagen
Orcid: 0000-0002-8150-3587
According to our database1,
Wolfram Erlhagen
authored at least 58 papers
between 1995 and 2023.
Collaborative distances:
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Bibliography
2023
Adaptive timing in a dynamic field architecture for natural human-robot interactions.
Cogn. Syst. Res., December, 2023
Impact of Variable Transformations on Multiple Regression Models for Enhancing Gait Normalization.
Proceedings of the 2023 6th International Conference on Mathematics and Statistics, 2023
Navigation and docking maneuvers control of an autonomous omnidirectional platform in a dynamic internal logistics environment.
Proceedings of the IEEE International Conference on Autonomous Robot Systems and Competitions, 2023
2022
Neural Networks, 2022
Endowing Intelligent Vehicles with the Ability to Learn User's Habits and Preferences with Machine Learning Methods.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2022, 2022
Proceedings of the IEEE International Conference on Autonomous Robot Systems and Competitions, 2022
2021
Rapid Learning of Complex Sequences With Time Constraints: A Dynamic Neural Field Model.
IEEE Trans. Cogn. Dev. Syst., 2021
A neural integrator model for planning and value-based decision making of a robotics assistant.
Neural Comput. Appl., 2021
Prediction of attitudes towards human-centred cognitive vehicles aware of their users' routines and preferences.
Proceedings of the 6th IEEE International Forum on Research and Technology for Society and Industry, 2021
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
Proceedings of the 46th Annual Conference of the IEEE Industrial Electronics Society, 2020
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
Proceedings of the IECON 2019, 2019
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
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
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2016, 2016
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
Proceedings of the 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012
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
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
Proceedings of the Artificial Neural Networks, 2008
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
Neural Networks, 2006
Neurocomputing, 2006
2005
Proceedings of the 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2005
Proceedings of the Artificial Neural Networks: Biological Inspirations, 2005
2003
2002
A neural field model for saccade planning in the superior colliculus: speed-accuracy tradeoff in the double-target paradigm.
Neurocomputing, 2002
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
Proceedings of the Neural Networks: Artificial Intelligence and Industrial Applications, 1995
Proceedings of the Neural Networks: Artificial Intelligence and Industrial Applications, 1995