Abstract
In this paper, a neurorobotic robot ‘eye’ for investigating the neural control of eye movements is developed and the performance of a computational model of image stabilization based on the adaptive filter model of the cerebellum is evaluated. For in-depth analysis, the cerebellum microcircuit is investigated and bioinspired control algorithm is developed. Inverse oculomotor plant model is simulated on Matlab/Simulink; first using simple Vestibulo-Ocular Reflex model; then using a second order model with Model Reference Adaptive Control. In addition, the robot ‘eye’ is built as a camera mount gimbal system and its architecture is calibrated.
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References
Anderson SR (2010) Adaptive cancelation of self-generated sensory signals in a whisking robot. IEEE Trans Robot 26(6):1065–1076
Anderson SR, Wilson E (2011) SimulinkAdaptiveFilterCode_TDLs. [Simulink block and Matlab scripts]
Bishop R (2008) Mechatronic system control, logic, and data acquisition. Taylor & Francis Group
Dean P (2010) The cerebellar microcircuit as an adaptive filter: experimental and computational evidence. Nat Rev Neurosci 11(1):30–43
Dean P (2013) An adaptive filter model of cerebellar zone C3 as a basis for safe limb control? J Physiol 591(Pt 22):5459–5474
Dean P, Porrill J, Stone JV (2002) Decorrelation control by the cerebellum achieves oculomotor plant compensation in simulated vestibulo-ocular reflex. Proc Biol Sci/R Soc 269(1503):1895–1904
Lenz A (2009) Cerebellar-inspired adaptive control of a robot eye actuated by pneumatic artificial muscles. IEEE Trans Syst Man Cybern. Part B. (Cybernetics : a publication of the IEEE Syst Man Cybern Soc) 39(6):1420–1433
Porrill J, Dean P, Stone JV (2004) Recurrent cerebellar architecture solves the motor-error problem. Proc Biol Sci/R Soc 271(1541):789–796
Porrill J, Dean P (2007) Cerebellar motor learning: when is cortical plasticity not enough? PLoS Comput Biol 3(10):1935–1950
Shibata T, Schaal S (2001) Biomimetic gaze stabilization based on feedback-error-learning with nonparametric regression networks. Neural Netw (the official journal of the Int Neural Netw Soc) 14(2):201–216
Sejnowski TJ (1977) Storing covariance with nonlinearly interacting neurons. Math Biol 4:303–321
Wilson ED (2013) Developing the cerebellar chip as a general control module for autonomous systems, pp 1–12
Widrow B, Samuel S (1985) Adaptive signal processing. Prentice-Hall, New Jersey
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Mussina, A., Ceccarelli, M., Balbayev, G. (2018). Neurorobotic Investigation into the Control of Artificial Eye Movements. In: Doroftei, I., Oprisan, C., Pisla, D., Lovasz, E. (eds) New Advances in Mechanism and Machine Science. Mechanisms and Machine Science, vol 57. Springer, Cham. https://doi.org/10.1007/978-3-319-79111-1_21
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DOI: https://doi.org/10.1007/978-3-319-79111-1_21
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