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Emotional gait generation for a humanoid robot

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Abstract

In this paper, an emotional mathematical model and affective state probability description space of a humanoid robot are set up on the basis of psycho-dynamics’ psychological energy and affective energy conservation law. The emotional state transferring process and hidden Markov chain algorithm of stimulating transition process are then studied. The simulation results show that the mathematical model is applicable to the authentic affective state change rule of human beings. Finally, the gait generation experiment results of control signal and electric current tracking wave-form are presented to demonstrate the validity of the proposed mathematical model.

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Authors and Affiliations

  1. School of Information Engineering, University of Science and Technology Beijing, Beijing, 100083, PRC

    Lun Xie, Zhi-Liang Wang, Wei Wang & Guo-Chen Yu

Authors
  1. Lun Xie
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  2. Zhi-Liang Wang
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  3. Wei Wang
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  4. Guo-Chen Yu
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Corresponding author

Correspondence to Lun Xie.

Additional information

This work was supported by National High Technology Research and Development Program of China (863 Program) (No. 2007AA04Z218).

Lun Xie received the Ph.D. degree in engineering from University of Science and Technology Beijing, PRC. He is currently an associate professor in University of Science and Technology Beijing.

His research interests include intelligent robot, affective computing, embedded system, power electronics technology, and intelligent information processing.

Zhi-Liang Wang received the Ph.D. degree in engineering from Harbin Institute of Technology, PRC. He is currently a professor in the University of Science and Technology Beijing, PRC.

His research interests include artificial psychology and affective computing, 3C fusion technology, intelligent robot, and harmonious human-computer interaction.

Wei Wang received the M. Sc. degree in the University of Science and Technology Beijing, PRC. He is currently a Ph. D. candidate in School of Information Engineering at University of Science and Technology Beijing.

His research interests include intelligent robot, artificial psychology and affective computing, and stimulating.

Guo-Chen Yu received the M. Sc. degree in the University of Science and Technology Beijing, PRC. He is currently a Ph.D. candidate in School of Information Engineering at University of Science and Technology Beijing.

His research interests include intelligent robot, artificial psychology, and affective computing.

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Xie, L., Wang, ZL., Wang, W. et al. Emotional gait generation for a humanoid robot. Int. J. Autom. Comput. 7, 64–69 (2010). https://doi.org/10.1007/s11633-010-0064-0

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  • DOI: https://doi.org/10.1007/s11633-010-0064-0

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