Abstract
Despite the increasing mutual interest, robotics and cognitive sciences are still lacking common research grounds and comparison methodologies, for a more efficient use of modern technologies in aid of neuroscience research. We employed our humanoid robot for reproducing experiments on saccadic adaptation, on the same experimental setup used for human studies. The behavior of the robot, endowed with advanced sensorimotor skills and high autonomy in its interaction with the surrounding environment, is based on a model of cortical sensorimotor functions. We show how the comparison of robot experimental results with human and computational modeling data allows researchers to validate and assess alternative models of psychophysical phenomena.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Antonelli, M., Chinellato, E., del Pobil, A.P.: Implicit mapping of the peripersonal space of a humanoid robot. In: IEEE Symposium Series on Computational Intelligence, SSCI (2011)
Bosco, A., Breveglieri, R., Chinellato, E., Galletti, C., Fattori, P.: Reaching activity in the medial posterior parietal cortex of monkeys is modulated by visual feedback. J. Neurosci 30(44), 14773–14785 (2010)
Cheng, G., Hyon, S.-H., Morimoto, J., Ude, A., Colvin, G., Scroggin, W., Jacobsen, S.C.: Cb: A humanoid research platform for exploring neuroscience. In: Proc. 6th IEEE-RAS Int. Humanoid Robots Conf., pp. 182–187 (2006)
Chinellato, E., Antonelli, M., Grzyb, B.J., del Pobil, A.P.: Implicit sensorimotor mapping of the peripersonal space by gazing and reaching. IEEE Transactions on Autonomous Mental Development 3(1), 43–53 (2011)
Chinellato, E., del Pobil, A.P.: fRI, functional robotic imaging: Visualizing a robot brain. In: IEEE International Conference on Distributed Human-Machine Systems, DHMS, Athens, Greece (March 2008)
Chinellato, E., Grzyb, B.J., Marzocchi, N., Bosco, A., Fattori, P., del Pobil, A.P.: The dorso-medial visual stream: from neural activation to sensorimotor interaction. Neurocomputing 74(8), 1203–1212 (2010)
Collins, T., Dore-Mazars, K., Lappe, M.: Motor space structures perceptual space: Evidence from human saccadic adaptation. Brain Res. 1172, 32–39 (2007)
Culham, J.C.: Functional neuroimaging: Experimental design and analysis. In: Cabeza, R., Kingstone, A. (eds.) Handbook of Functional Neuroimaging of Cognition, pp. 53–82. MIT Press, Cambridge (2006)
Dario, P., Carrozza, M.C., Guglielmelli, E., Laschi, C., Menciassi, A., Micera, S., Vecchi, F.: Robotics as a future and emerging technology: biomimetics, cybernetics, and neuro-robotics in European projects. IEEE Robotics & Automation Magazine 12(2), 29–45 (2005)
Kawato, M.: Robotics as a tool for neuroscience - cerebellar internal models for robotics and cognition. In: Proceedings of the 9th International Symposium on Robotics Research, pp. 321–328 (2000)
Lappe, M.: What is adapted in saccadic adaptation? J. Physiol. 587(pt. 1), 5 (2009)
McLaughlin, S.: Parametric adjustment in saccadic eye movements. Percept. Psychophys. 2, 359–362 (1967)
Nanayakkara, T., Shadmehr, R.: Saccade adaptation in response to altered arm dynamics. Journal of Neurophysiology 90(6), 4016–4021 (2003)
Prescott, T.J., Redgrave, P., Gurney, K.: Layered control architectures in robots and vertebrates. Adaptive Behavior 7(1), 99–127 (1999)
Salinas, E., Thier, P.: Gain modulation: a major computational principle of the central nervous system. Neuron 27(1), 15–21 (2000)
Schnier, F., Zimmermann, E., Lappe, M.: Adaptation and mislocalization fields for saccadic outward adaptation in humans. Journal of Eye Movement Research 3(3), 1–18 (2010)
Tsagarakis, N.G., Metta, G., Sandini, G., Vernon, D., Beira, R., Becchi, F., Righetti, L., Santos-Victor, J., Ijspeert, A.J., Carrozza, M.C., Caldwell, D.G.: icub: the design and realization of an open humanoid platform for cognitive and neuroscience research. Advanced Robotics 21(10), 1151–1175 (2007)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Chinellato, E., Antontelli, M., del Pobil, A.P. (2012). A Pilot Study on Saccadic Adaptation Experiments with Robots. In: Prescott, T.J., Lepora, N.F., Mura, A., Verschure, P.F.M.J. (eds) Biomimetic and Biohybrid Systems. Living Machines 2012. Lecture Notes in Computer Science(), vol 7375. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31525-1_8
Download citation
DOI: https://doi.org/10.1007/978-3-642-31525-1_8
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-31524-4
Online ISBN: 978-3-642-31525-1
eBook Packages: Computer ScienceComputer Science (R0)