Generating artificially mastered motions for an upper limb in baseball pitching from several objective functions

Citation
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
ISSN journal
1083-4419 → ACNP
Volume
30
Issue
3
Year of publication
2000
Pages
373 - 382
Database
ISI
SICI code
1083-4419(200006)30:3<373:GAMMFA>2.0.ZU;2-3
Abstract
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.