Y. Mochizuki et al., Generating artificially mastered motions for an upper limb in baseball pitching from several objective functions, IEEE SYST B, 30(3), 2000, pp. 373-382
Citations number
14
Language
INGLESE
art.tipo
Article
Categorie Soggetti
AI Robotics and Automatic Control
Journal title
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS
It is possible to consider a mastered skill to be an optimal skill under so
me conditions, especially in the field of sports. We call an ideal skill ge
nerated in an artificial environment like a computer, an "artificially mast
ered skill". There must exist an objective function which represents the ob
jective of the optimization for the skill. The objective function plays the
most important role in defining the meaning of the mastered skill. In this
paper, we propose a computer simulation method of generating artificially
mastered motions for an upper limb during baseball pitching by using a thre
e-dimensional mathematical model and an optimizing method. We report the co
nsequences of simulation experiments for several objective functions that d
efine the mastered skill in the meaning of "nonwasteful" and/or "smooth", F
rom the consequences, we also investigate the property of an "artificially
mastered skill motion" generated from each objective function, paying atten
tion to differences among the consequent motions for each objective functio
n from the viewpoints of kinematics and dynamics.