Mahalanobis-Taguchi-Fukuda Approach to Human Motion Control

Abstract

Learning from failures approach how to control human motion is developed by extending Mahalanobis Taguchi System. It enables quantitative measurement of how the learner is improving in his or her learning, It helps to acquire tacit knowledge such as swimming, for which we do not have valid approach. Since Mahalanobis Distance is a unitless measure for multi-dimensional variables, this approach can be extended to many adaptive network formation and management, because this approach let the learner recognize how he or she can coordinate their body pars to adapt to the changing situations. Thus, the approach ca be applied to development and operation of soft robots and adaptive network or team formation and management in the IoT connected society.