B. M. Herbort-o, Context-dependent predictions and cognitive arm control with XCSF, Proceedings of the 10th annual conference on Genetic and evolutionary computation, pp.1357-1364, 2008.

D. A. Walker-i, Overview of damped least-squares methods for inverse kinematics of robot manipulators, Journal of Intelligent and Robotic Systems, vol.14, pp.43-68, 1995.

D. H. Kaufman-c, S. A. Burges-l, and . Vapnik-v, Support vector regression machines, Advances in Neural Information Processing Systems 9, pp.155-161, 1997.

G. A. Metta-g, Incremental learning of robot dynamics using random features, ICRA, pp.951-956, 2011.

K. T. Sayed-a and . Hassibi-b, Linear estimation. Prentice-Hall information and system sciences series, 2000.

M. G. Sandini-g, V. D. , and N. L. Nori-f, The icub humanoid robot : an open platform for research in embodied cognition, Proceedings of the 8th Workshop on Performance Metrics for Intelligent Systems, pp.50-56, 2008.

P. U. Nori-f, N. L. , and M. G. Sandini-g, An experimental evaluation of a novel minimum-jerk cartesian controller for humanoid robots, IROS, pp.1668-1674, 2010.

R. A. Recht-b, Random features for large-scale kernel machines, Advances in Neural Information Processing Systems, pp.1177-1184, 2008.

S. C. and P. V. Sigaud-o, Control of redundant robots using learned models : an operational space control approach, Proceedings of the IEEE, pp.878-885, 2009.

S. S. Atkeson-c and . Vijayakumar-s, Scalable techniques from nonparametric statistics for real time robot learning, Applied Intelligence, vol.17, pp.49-60, 2002.

S. G. Salaün-c, I. S. , and P. V. Sigaud-o, Learning the velocity kinematics of iCub for model-based control : XCSF versus LWPR, Proceedings of the 11th IEEE-RAS International Conference on Humanoid Robots -Humanoids, 2011.

S. O. Salaün-c and . Padois-v, On-line regression algorithms for learning mechanical models of robots : a survey, Robotics and Autonomous Systems, vol.59, pp.1115-1129, 2011.

S. P. Butz-m, Current XCSF capabilities and challenges, pp.57-69, 2008.

V. S. Schaal-s, Locally weighted projection regression : An o(n) algorithm for incremental real time learning in high dimensional space, Proceedings of the Seventeenth International Conference on Machine Learning, pp.1079-1086, 2000.