B. Gates, A robot in every home, Scientific American, 2007.

E. Guizzo and E. Ackerman, How rethink robotics built its new baxter robot worker, 2012.

B. Argall, S. Chernova, and M. Veloso, A survey of robot learning from demonstration, Robotics and Autonomous Systems, vol.57, issue.5, 2009.
DOI : 10.1016/j.robot.2008.10.024

M. Lopes, T. Cederborg, and P. Oudeyer, Simultaneous acquisition of task and feedback models, 2011 IEEE International Conference on Development and Learning (ICDL), 2011.
DOI : 10.1109/DEVLRN.2011.6037359

URL : https://hal.archives-ouvertes.fr/hal-00636166

J. Grizou, M. Lopes, and P. Oudeyer, Robot learning simultaneously a task and how to interpret human instructions, 2013 IEEE Third Joint International Conference on Development and Learning and Epigenetic Robotics (ICDL), 2013.
DOI : 10.1109/DevLrn.2013.6652523

URL : https://hal.archives-ouvertes.fr/hal-00850703

P. Kindermans, D. Verstraeten, and B. Schrauwen, A Bayesian Model for Exploiting Application Constraints to Enable Unsupervised Training of a P300-based BCI, PLoS ONE, vol.39, issue.4, 2012.
DOI : 10.1371/journal.pone.0033758.s002

P. Ferrez and J. Millán, Error-Related EEG Potentials Generated During Simulated Brain–Computer Interaction, IEEE Transactions on Biomedical Engineering, vol.55, issue.3, 2008.
DOI : 10.1109/TBME.2007.908083

C. R. and M. Jdr, Learning from EEG error-related potentials in noninvasive brain-computer interfaces, IEEE Trans Neural Syst Rehabil Eng, 2010.

I. Iturrate, L. Montesano, and J. Minguez, Robot reinforcement learning using EEG-based reward signals, 2010 IEEE International Conference on Robotics and Automation, pp.4822-4829, 2010.
DOI : 10.1109/ROBOT.2010.5509734

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.211.9901