A brain-computer interface for high-level remote control of an autonomous, reinforcement-learning-based robotic system for reaching and grasping
暂无分享,去创建一个
Tonio Ball | Martin A. Riedmiller | Thomas Lampe | Lukas Dominique Josef Fiederer | Martin Voelker | Alexander Knorr | T. Lampe | T. Ball | Alexander Knorr | L. Fiederer | Martin Voelker
[1] D. Thomson,et al. Spectrum estimation and harmonic analysis , 1982, Proceedings of the IEEE.
[2] David J. C. MacKay,et al. A Practical Bayesian Framework for Backpropagation Networks , 1992, Neural Computation.
[3] Richard S. Sutton,et al. Introduction to Reinforcement Learning , 1998 .
[4] F. L. D. Silva,et al. Event-related EEG/MEG synchronization and desynchronization: basic principles , 1999, Clinical Neurophysiology.
[5] Robert Oostenveld,et al. The five percent electrode system for high-resolution EEG and ERP measurements , 2001, Clinical Neurophysiology.
[6] R. Andersen,et al. Cognitive Control Signals for Neural Prosthetics , 2004, Science.
[7] N. Birbaumer,et al. BCI2000: a general-purpose brain-computer interface (BCI) system , 2004, IEEE Transactions on Biomedical Engineering.
[8] Martin A. Riedmiller. Neural Fitted Q Iteration - First Experiences with a Data Efficient Neural Reinforcement Learning Method , 2005, ECML.
[9] M. Sarcinelli-Filho,et al. Teleoperation of an Industrial Manipulator Through a TCP/IP Channel Using EEG Signals , 2006, 2006 IEEE International Symposium on Industrial Electronics.
[10] Christa Neuper,et al. Motor imagery and EEG-based control of spelling devices and neuroprostheses. , 2006, Progress in brain research.
[11] M Congedo,et al. A review of classification algorithms for EEG-based brain–computer interfaces , 2007, Journal of neural engineering.
[12] Clemens Brunner,et al. Spatial filtering and selection of optimized components in four class motor imagery EEG data using independent components analysis , 2007, Pattern Recognit. Lett..
[13] C. Braun,et al. A review on directional information in neural signals for brain-machine interfaces , 2009, Journal of Physiology-Paris.
[14] Javier Minguez,et al. Human brain-teleoperated robot between remote places , 2009, 2009 IEEE International Conference on Robotics and Automation.
[15] Daniel Moran,et al. Evolution of brain–computer interface: action potentials, local field potentials and electrocorticograms , 2010, Current Opinion in Neurobiology.
[16] Motoaki Kawanabe,et al. Toward Unsupervised Adaptation of LDA for Brain–Computer Interfaces , 2011, IEEE Transactions on Biomedical Engineering.
[17] Rajesh P. N. Rao,et al. An adaptive brain-computer interface for humanoid robot control , 2011, 2011 11th IEEE-RAS International Conference on Humanoid Robots.
[18] Klaus-Robert Müller,et al. Machine-Learning-Based Coadaptive Calibration for Brain-Computer Interfaces , 2011, Neural Computation.
[19] Nicolas Y. Masse,et al. Reach and grasp by people with tetraplegia using a neurally controlled robotic arm , 2012, Nature.
[20] Gunnar Blohm,et al. Multi-Class Motor Imagery EEG Decoding for Brain-Computer Interfaces , 2012, Front. Neurosci..
[21] G R Müller-Putz,et al. Toward smarter BCIs: extending BCIs through hybridization and intelligent control , 2012, Journal of neural engineering.
[22] A. Schwartz,et al. High-performance neuroprosthetic control by an individual with tetraplegia , 2013, The Lancet.
[23] Martin A. Riedmiller,et al. Acquiring visual servoing reaching and grasping skills using neural reinforcement learning , 2013, The 2013 International Joint Conference on Neural Networks (IJCNN).