Martin Völker

According to our database, Martin Völker authored at least 14 papers between 2014 and 2019.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2019

Optimizing brain-computer interfaces for high-level control of intelligent robots.

Martin Völker

PhD thesis, 2019

A service assistant combining autonomous robotics, flexible goal formulation, and deep-learning-based brain-computer interfacing.

Daniel Kuhner, Lukas Dominique Josef Fiederer, Johannes Aldinger, Felix Burget, Martin Völker, Robin Tibor Schirrmeister, Chau Do, Joschka Boedecker, Bernhard Nebel, Tonio Ball, Wolfram Burgard

Robotics Auton. Syst., 2019

Hybrid Brain-Computer-Interfacing for Human-Compliant Robots: Inferring Continuous Subjective Ratings With Deep Regression.

Lukas Dominique Josef Fiederer, Martin Völker, Robin Tibor Schirrmeister, Wolfram Burgard, Joschka Boedecker, Tonio Ball

Frontiers Neurorobotics, 2019

A Research Framework for Virtual-Reality Neurosurgery Based on Open-Source Tools.

Lukas Dominique Josef Fiederer, Hisham Alwanni, Martin Völker, Oliver Schnell, Jürgen Beck, Tonio Ball

Proceedings of the IEEE Conference on Virtual Reality and 3D User Interfaces, 2019

2018

The dynamics of error processing in the human brain as reflected by high-gamma activity in noninvasive and intracranial EEG.

Martin Völker, Lukas Dominique Josef Fiederer, Sofie Berberich, Jirí Hammer, Joos Behncke, Pavel Krsek, Martin Tomásek, Petr Marusic, Peter C. Reinacher, Volker A. Coenen, Moritz Helias, Andreas Schulze-Bonhage, Wolfram Burgard, Tonio Ball

NeuroImage, 2018

Cross-paradigm pretraining of convolutional networks improves intracranial EEG decoding.

Joos Behncke, Robin Tibor Schirrmeister, Martin Völker, Andreas Schulze-Bonhage, Wolfram Burgard, Tonio Ball

CoRR, 2018

A framework for large-scale evaluation of deep learning for EEG.

Felix A. Heilmeyer, Robin Tibor Schirrmeister, Lukas Dominique Josef Fiederer, Martin Völker, Joos Behncke, Tonio Ball

CoRR, 2018

Intracranial Error Detection via Deep Learning.

Martin Völker, Jirí Hammer, Robin Tibor Schirrmeister, Joos Behncke, Lukas Dominique Josef Fiederer, Andreas Schulze-Bonhage, Petr Marusic, Wolfram Burgard, Tonio Ball

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

A Large-Scale Evaluation Framework for EEG Deep Learning Architectures.

Felix A. Heilmeyer, Robin Tibor Schirrmeister, Lukas Dominique Josef Fiederer, Martin Völker, Joos Behncke, Tonio Ball

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

Cross-Paradigm Pretraining of Convolutional Networks Improves Intracranial EEG Decoding.

Joos Behncke, Robin Tibor Schirrmeister, Martin Völker, Jirí Hammer, Petr Marusic, Andreas Schulze-Bonhage, Wolfram Burgard, Tonio Ball

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

Deep transfer learning for error decoding from non-invasive EEG.

Martin Völker, Robin Tibor Schirrmeister, Lukas Dominique Josef Fiederer, Wolfram Burgard, Tonio Ball

Proceedings of the 6th International Conference on Brain-Computer Interface, 2018

2017

Acting thoughts: Towards a mobile robotic service assistant for users with limited communication skills.

Felix Burget, Lukas Dominique Josef Fiederer, Daniel Kuhner, Martin Völker, Johannes Aldinger, Robin Tibor Schirrmeister, Chau Do, Joschka Boedecker, Bernhard Nebel, Tonio Ball, Wolfram Burgard

Proceedings of the 2017 European Conference on Mobile Robots, 2017

2015

An autonomous robotic assistant for drinking.

Sebastian Schroer, Ingo Killmann, Barbara Frank, Martin Voelker, Lukas Dominique Josef Fiederer, Tonio Ball, Wolfram Burgard

Proceedings of the IEEE International Conference on Robotics and Automation, 2015

2014

A brain-computer interface for high-level remote control of an autonomous, reinforcement-learning-based robotic system for reaching and grasping.

Thomas Lampe, Lukas Dominique Josef Fiederer, Martin Voelker, Alexander Knorr, Martin A. Riedmiller, Tonio Ball

Proceedings of the 19th International Conference on Intelligent User Interfaces, 2014