Capture Theory Based on Modified LIP Models

Introduction

Feedback control, instead of preprogramed posture strategies, has been accepted to control posture in human standing balance task. Studies have been done trying to understand the feedback control system and controllers have been got from the standing balance experimental data. However, most of them could not be applied on engineering devices, for instance, humanoid robots and P/O devices, due to the nonparameteric control sturtures and perturbation amplitude related control gains.

In this study, we proposed that there exists general feedback controllers among healthy human to keep standing balance. Here, general means controller parameters do not change according to perturbation characters. We conducted standing balance experiment under the random distance perturbation of the standing platform. Then we identify parameteric state feedabck controllers (not perturbation amplitude related) in the time domain. The identified controllers have the potential to be used in humanoid robots and P/O devices.

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