G. Christopher and . Atkeson, What happened at the DARPA robotics challenge, and why? submitted to the DRC Finals Special Issue of the Journal of Field Robotics, 2016.

F. Berkenkamp, A. Krause, and A. P. Schoellig, Bayesian optimization with safety constraints: safe and automatic parameter tuning in robotics, 2016.

R. Calandra, A. Seyfarth, and M. P. Deisenroth, An experimental comparison of Bayesian optimization for bipedal locomotion, 2014 IEEE International Conference on Robotics and Automation (ICRA), pp.1951-1958, 2014.
DOI : 10.1109/ICRA.2014.6907117

J. Carlson and R. R. Murphy, How UGVs physically fail in the field, IEEE Transactions on Robotics, vol.21, issue.3, pp.423-437, 2005.
DOI : 10.1109/TRO.2004.838027

K. Chatzilygeroudis, V. Vassiliades, and J. Mouret, Reset-free Trial-and-Error Learning for Data-Efficient Robot Damage Recovery, 2016.

A. Cully, K. Chatzilygeroudis, F. Allocati, and J. Mouret, Limbo: A fast and flexible library for bayesian optimization, 2016.

A. Cully, J. Clune, D. Tarapore, and J. Mouret, Robots that can adapt like animals, Nature, vol.26, issue.7553, pp.503-507, 2015.
DOI : 10.1038/nrn2332

URL : https://hal.archives-ouvertes.fr/hal-01158243

K. Deb, Multi-objective optimization, Search methodologies, pp.403-449, 2014.

R. Jacob, . Gardner, J. Matt, Z. E. Kusner, . Xu et al., Bayesian optimization with inequality constraints, ICML, pp.937-945, 2014.

I. Hupkens, A. Deutz, K. Yang, and M. Emmerich, Faster Exact Algorithms for Computing Expected Hypervolume Improvement, International Conference on Evolutionary Multi-Criterion Optimization, pp.65-79, 2015.
DOI : 10.1007/978-3-319-15892-1_5

N. Jakobi, P. Husbands, and I. Harvey, Noise and the reality gap: The use of simulation in evolutionary robotics, European Conference on Artificial Life, pp.704-720, 1995.
DOI : 10.1007/3-540-59496-5_337

J. Sylvain-koos, S. Mouret, and . Doncieux, The Transferability Approach: Crossing the Reality Gap in Evolutionary Robotics, IEEE Transactions on Evolutionary Computation, vol.17, issue.1, pp.122-145, 2013.
DOI : 10.1109/TEVC.2012.2185849

G. Metta, G. Sandini, D. Vernon, L. Natale, and F. Nori, The iCub humanoid robot, Proceedings of the 8th Workshop on Performance Metrics for Intelligent Systems, PerMIS '08, pp.50-56, 2008.
DOI : 10.1145/1774674.1774683

J. Mouret and J. Clune, Illuminating search spaces by mapping elites, 2015.

G. Ren, W. Chen, S. Dasgupta, and C. Kolodziejski, Multiple chaotic central pattern generators with learning for legged locomotion and malfunction compensation, Information Sciences, vol.294, pp.666-682, 2015.
DOI : 10.1016/j.ins.2014.05.001

URL : http://arxiv.org/abs/1407.3269

B. Shahriari, K. Swersky, Z. Wang, P. Ryan, N. Adams et al., Taking the Human Out of the Loop: A Review of Bayesian Optimization, Proceedings of the IEEE, pp.148-175, 2016.
DOI : 10.1109/JPROC.2015.2494218

G. Nikolaos, G. Tsagarakis, G. Metta, D. Sandini, R. Vernon et al., iCub: the design and realization of an open humanoid platform for cognitive and neuroscience research, Advanced Robotics, vol.21, issue.10, pp.1151-1175, 2007.

K. Yang, D. Gaida, T. Bäck, and M. Emmerich, Expected hypervolume improvement algorithm for PID controller tuning and the multiobjective dynamical control of a biogas plant, 2015 IEEE Congress on Evolutionary Computation (CEC), pp.1934-1942, 2015.
DOI : 10.1109/CEC.2015.7257122