Cerebellar-inspired adaptive control of a robot eye actuated by pneumatic artificial Muscles

Anderson, S. R.; Lenz, Alex; Anderson, S. A.; Pipe, Anthony G.; Melhuish, C.; Dean, P.; Porrill, J.

Abstract

In this paper, a model of cerebellar function is implemented and evaluated in the control of a robot eye actuated by pneumatic artificial muscles. The investigated control problem is stabilization of the visual image in response to disturbances. This is analogous to the vestibuloocular reflex (VOR) in humans. The cerebellar model is structurally based on the adaptive filter, and the learning rule is computationally analogous to least-mean squares, where parameter adaptation at the parallel fiber/Purkinje cell synapse is driven by the correlation of the sensory error signal (carried by the climbing fiber) and the motor command signal. Convergence of the algorithm is first analyzed in simulation on a model of the robot and then tested online in both one and two degrees of freedom. The results show that this model of neural function successfully works on a real-world problem, providing empirical evidence for validating: 1) the generic cerebellar learning algorithm; 2) the function of the cerebellum in the VOR; and 3) the signal transmission between functional neural components of the VOR. © 2009 IEEE.

• Journal Article Type: Article
• Publication Date: Apr 16, 2009
• Journal: IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
• Print ISSN: 1083-4419
• Publisher: Institute of Electrical and Electronics Engineers
• Peer Reviewed: Peer Reviewed
• Volume: 39
• Issue: 6
• Pages: 1420-1433
• DOI: https://doi.org/10.1109/TSMCB.2009.2018138
• Keywords: biomimetic model, cerebellum, neurorobotics, pneumatic artificial muscle (PAM), vestibuloocular reflex (VOR), adaptive control, adaptive filters, biocomputing, biomimetics, least mean squares methods, muscle, pneumatic actuators, robot vision, stability
• Public URL: https://uwe-repository.worktribe.com/output/1003879
• Publisher URL: http://dx.doi.org/10.1109/TSMCB.2009.2018138