| Shibata, T. and Schaal, S. (2001). Biomimetic gaze stabilization based on feedback-errorlearning with nonparametric regression networks. Neural Networks, 14(2), 201-216. |
....with the uncontrollable environment. Avoiding the problem requires a method of specifying, or learning, the distinction. VII. RELATED WORK Several other controllers for active heads have included explicit mechanisms for coping with delays by modelling their effect and attempting to compensate [18 21]. Shibata and Schaal s [22] active head controller had an explicit module for learning target behaviour that was capable of adapting to patterns in target movement in only a few seconds. Human eye movements demonstrate a range of mechanisms for minimising lag. Basic human eye movements include ....
.... have not considered target velocity [29 32] Researchers at the LiraLab developed an integrated system, combining various biologically inspired eye and head movement mechanisms [33] Target velocity was not considered, except when compensating for induced pan movements [34] Shibata and Schaal s [18] controller included velocity components as well as position components, based on a model of the human vestibulo ocular reflex (VOR) and optokinetic reflex (OKR) The VOR model included a learning component, using FEL with an eligibility trace mechanism [35] Reinforcement learning was applied to ....
T. Shibata and S. Schaal, "Biomimetic gaze stabilization based on feedback-error learning with nonparametric regression networks, " Neural Networks, vol. 14(2), 2001.
No context found.
Shibata, T. and Schaal, S. (2001). Biomimetic gaze stabilization based on feedback-errorlearning with nonparametric regression networks. Neural Networks, 14(2), 201-216.
No context found.
Shibata, T. & Schaal, S. (2001). Biomimetic gaze stabilization based on feedbackerror -learning with nonparametric regression networks. Neural Networks. Vol. 14. No. 2., pp. 201-216.
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