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F. Pasemann, Rempis, C., and von Twickel, A., Evolving Humanoid Behaviors for Language Games , Language Grounding in Robots, pp. 67-86, 2012.
S. N. Patek, Materials science. Biomimetics and evolution., Science, vol. 345, no. 6203, pp. 1448-9., 2014.
T. Petrič, Gams, A., Debevec, T., lajpah, L. Ž., and Babič, J., Control approaches for robotic knee exoskeleton and their effects on human motion, Advanced Robotics, vol. 27, no. 13, pp. 993-1002, 2013.
T. Petrič, Gams, A., Babič, J., and lajpah, L. Ž., Reflexive stability control framework for humanoid robots, Autonomous Robots, vol. 34, no. 4, 2013.
G. Pezzulo, Verschure, P. F. M., Balkenius, C., and Pennartz, C. M., The principles of goal-directed decision-making: from neural mechanisms to computation and robotics., Philos Trans R Soc Lond B Biol Sci. , vol. 369, no. 1655, 2014.
Pfeifer, R. and Verschure, P. M. J. F., Distributed adaptive control: a paradigm for designing autonomous agents., in First European Conference on Artificial Life., 1992.
Pfeifer, R., Iida, F., and Lungarella, M., Cognition from the bottom up: on biological inspiration, body morphology, and soft materials, Trend in Cognitve Sciences, vol. 18, no. 8, 2014.
F. Pfeiffer and Inoue, H., Walking: technology and biology., Philos Transact A Math Phys Eng Sci. , vol. 365, no. 365, p. 1850, 2007.
R. D. Pinzon-Morales and Hirata, Y., Cerebellar-inspired bi-hemispheric neural network for adaptive control of an unstable robot, Biosignals and Biorobotics Conference (BRC), vol. ISSN: 2326-7771. pp. 1-4, 2013.
T. Pipe and Pearson, M. J. &, Whiskered robots, In Scholarpedia of Touch , pp. pp. 809-815, 2015.
R. S. Prabhakara, Wright, C. H. G., and Barrett, S. F., Motion Detection: A Biomimetic Vision Sensor Versus a CCD Camera Sensor , Sensors Journal, IEEE , vol. 12, no. 2, pp. 298 - 307 , 2012.
T. J. Prescott, Ahissar, E., and Izhikevich, E. &, Scholarpedia of Touch. , Atlantis Publishing Corporation, 2015.
T. J. Prescott and Ibbotson, C., A Robot Trace Maker: Modeling the Fossil Evidence of Early Invertebrate Behavior, Artificial Life , vol. 3, no. 4, 1997.
T. J. Prescott and Dürr, V. &, Introduction: The World of Touch., in Scholarpedia of Touch , Atlantis Press, 2016, pp. pp. 1-28.
T. T. Prescott, Lepora, N. F., Mura, A., and Verschure, P. F. M. J., Biomimetic and Biohybrid Systems, Living Machines, vol. 7375. Barcelona, 2012.
T. J. Prescott, Peter Redgrave,, and Kevin Gurney, Layered Control Architectures in Robots and Vertebrates, Adaptive Behavior , vol. 7 , no. 1, 1999.
T. J. Prescott, Fernando M. Montes,, Gonzálezb, Kevin Gurney,, Mark D. Humphries,, and Peter Redgrave, A robot model of the basal ganglia: Behavior and intrinsic processing , Neural Networks, vol. 19, no. 1, 2006.
T. J. Prescott, Mitchinson, B., Lepora, N. F., Wilson, S. P., Anderson, S. R., Porrill, J., and Pipe, A. G. &, The robot vibrissal system: understanding mammalian sensorimotor co-ordination through biomimetics., in In Sensorimotor Integration in the Whisker System , New York: Springer , 2015.
J. Y. Puigbo, Moulin-Frier, C., Vouloutsi, V., Sanchez-Fibla, M., Herreros, I., and Verschure, P. F. &, Skill refinement through cerebellar learning and human haptic feedback: An iCub learning to paint experiment. , In Humanoid Robots (Humanoids), vol. IEEE-RAS 15th International Conference on. . IEEE, pp. 447-452, 2015.

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