Motion analysis of the Bunraku puppet for generation of emotional robot actions based on KM2O-Langevin model

M. Hattori; M. Tsuji; Y. Nakabou; S. Tadokoro; T. Takamori

Motion analysis of the Bunraku puppet for generation of emotional robot actions based on KM₂O-Langevin model

M. Hattori, M. Tsuji, Y. Nakabou, S. Tadokoro, T. Takamori

Research output: Contribution to journal › Conference article › peer-review

Abstract

Human robots must have actions with fertile emotion, in order to cooperate with human being, To clarify `what is the emotional factor of actions', the actions of a Bunraku puppet are analyzed. The observed action time series are modeled by stochastic difference equations (KM₂O-Langevin equations) with exogenous sources which represent the sources of functional factors, emotional factors and stochastic fluctuation factors. The identification method for KM₂O-Langevin equations with exogenous sources is established. The real observed action time series are analyzed by this method.

Original language	English
Pages (from-to)	3267-3272
Number of pages	6
Journal	Proceedings of the IEEE International Conference on Systems, Man and Cybernetics
Volume	4
Publication status	Published - 1997 Dec 1
Externally published	Yes
Event	Proceedings of the 1997 IEEE International Conference on Systems, Man, and Cybernetics. Part 3 (of 5) - Orlando, FL, USA Duration: 1997 Oct 12 → 1997 Oct 15

ASJC Scopus subject areas

Control and Systems Engineering
Hardware and Architecture

Cite this

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title = "Motion analysis of the Bunraku puppet for generation of emotional robot actions based on KM2O-Langevin model",

abstract = "Human robots must have actions with fertile emotion, in order to cooperate with human being, To clarify `what is the emotional factor of actions', the actions of a Bunraku puppet are analyzed. The observed action time series are modeled by stochastic difference equations (KM2O-Langevin equations) with exogenous sources which represent the sources of functional factors, emotional factors and stochastic fluctuation factors. The identification method for KM2O-Langevin equations with exogenous sources is established. The real observed action time series are analyzed by this method.",

author = "M. Hattori and M. Tsuji and Y. Nakabou and S. Tadokoro and T. Takamori",

year = "1997",

month = dec,

day = "1",

language = "English",

volume = "4",

pages = "3267--3272",

journal = "Proceedings of the IEEE International Conference on Systems, Man and Cybernetics",

issn = "0884-3627",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

note = "Proceedings of the 1997 IEEE International Conference on Systems, Man, and Cybernetics. Part 3 (of 5) ; Conference date: 12-10-1997 Through 15-10-1997",

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TY - JOUR

T1 - Motion analysis of the Bunraku puppet for generation of emotional robot actions based on KM2O-Langevin model

AU - Hattori, M.

AU - Tsuji, M.

AU - Nakabou, Y.

AU - Tadokoro, S.

AU - Takamori, T.

PY - 1997/12/1

Y1 - 1997/12/1

N2 - Human robots must have actions with fertile emotion, in order to cooperate with human being, To clarify `what is the emotional factor of actions', the actions of a Bunraku puppet are analyzed. The observed action time series are modeled by stochastic difference equations (KM2O-Langevin equations) with exogenous sources which represent the sources of functional factors, emotional factors and stochastic fluctuation factors. The identification method for KM2O-Langevin equations with exogenous sources is established. The real observed action time series are analyzed by this method.

AB - Human robots must have actions with fertile emotion, in order to cooperate with human being, To clarify `what is the emotional factor of actions', the actions of a Bunraku puppet are analyzed. The observed action time series are modeled by stochastic difference equations (KM2O-Langevin equations) with exogenous sources which represent the sources of functional factors, emotional factors and stochastic fluctuation factors. The identification method for KM2O-Langevin equations with exogenous sources is established. The real observed action time series are analyzed by this method.

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M3 - Conference article

AN - SCOPUS:0031334925

VL - 4

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EP - 3272

JO - Proceedings of the IEEE International Conference on Systems, Man and Cybernetics

JF - Proceedings of the IEEE International Conference on Systems, Man and Cybernetics

SN - 0884-3627

T2 - Proceedings of the 1997 IEEE International Conference on Systems, Man, and Cybernetics. Part 3 (of 5)

Y2 - 12 October 1997 through 15 October 1997

ER -

Motion analysis of the Bunraku puppet for generation of emotional robot actions based on KM₂O-Langevin model

Abstract

ASJC Scopus subject areas

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