Skip to main content
SpringerLink
Log in

Emotional Model Based on Computational Intelligence for Partner Robots

  • Chapter
Book cover Modeling Machine Emotions for Realizing Intelligence

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 1))

Abstract

This chapter discusses the availability of computational intelligence to emotional model for partner robots. Recently, the need of human-friendly robots is increasing. Such a robot should have an emotional model in order to co-exist with people and to realize natural communication with people. In this chapter, we propose an emotional model based on location-dependent memory for partner robots using computational intelligence. First we discuss the functions of emotion in social interaction, and the availability of computational intelligence for the partner robots. Next, we propose an emotional model based on emotions, feelings, and mood. Furthermore, the episodic memory is related with the change of feelings. Therefore, we propose a map building method based on the emotional model. Next, we propose a behavior control method based on the emotional model. Finally, we show several experimental results of the proposed method, and discuss the availability of the emotional model based on location-dependent memory.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Sperber, D., Wilson, D.: Relevance - Communication and Cognition. Blackwell Publishing Ltd., Malden (1995)

    Google Scholar 

  2. Cornelius, R.R.: The Science of Emotion: Research and Tradition in the Psychology of Emotion, pp. 149–184. Prentice Hall College Div, Englewood Cliffs (1995)

    Google Scholar 

  3. Buck, R.: The Communication of Emotion. Guilford Press, New York (1988)

    Google Scholar 

  4. Keltner, D., Haidt, J.: Social functions of emotions. In: Mayne, J., Bonann, G.A. (eds.) Emotion and Adaptation. Oxford University Press, Oxford (2001)

    Google Scholar 

  5. Keltner, D., Kring, A.M.: Emotion, Social Function, and Psychopathology. Review of General Psychology Copyright 1998 by the Educational Publishing Foundation 2(3), 320–342 (1998)

    Google Scholar 

  6. Ridley, M.: The Origins of Virtue. Felicity Bryan, Oxford (1996)

    Google Scholar 

  7. Eysenck, M.W.: Psychology: An Integrated Approach, Harlow, Essex, Longman (1998)

    Google Scholar 

  8. Cosmides, L., Tooby, J.: Evolutionary psychology and the emotions. In: Lewis, M., Haviland-Jones, J.M. (eds.) Handbook of Emotions, pp. 91–115. Guilford, New York (2000)

    Google Scholar 

  9. The American Heritage Dictionary of the English Language, 4th edn. (2000)

    Google Scholar 

  10. El-Nasr, M.S., Skubic, M.: A Fuzzy Emotional Agent for Decision-Making in A Mobile Robot. In: Proc. of the 1998 International Conference on Fuzzy Systems, An-chorage, Alaska, pp. 135–140 (1998)

    Google Scholar 

  11. Wada, K., Shibata, T., Saito, T., Tanie, K.: Psychological and Social Effects of One Year Robot Assisted Activity on Elderly People at a Health Service Facility for the Aged. In: Proc. (CD-ROM) of 2005 IEEE International Conference on Robotics and Automation, pp. 2796–2801 (2005)

    Google Scholar 

  12. Bartneck, C., Reichenbach, J.: Subtle emotional expressions of synthetic characters. The International Journal of Human-Computer Studies (62), 179–192 (2005)

    Article  Google Scholar 

  13. Gershenson, C.: Modelling Emotions with Multidimensional Logic. In: Proc. of 18th International Conference of the North American Fuzzy Information Processing Society, New York City, pp. 42–46 (1999)

    Google Scholar 

  14. Russell, J.A.: A circumplex model of affect. Journal of Personality and Social Psy-chology 39, 1161–1178 (1980)

    Article  Google Scholar 

  15. Kubota, N., Omote, S., Mori, Y.: Emotional Learning of A Vision-Based Partner Robot for Natural Communication with Human. In: Proc. (DVD-ROM) of 2006 IEEE World Congress on Computational Intelligence (WCCI 2006), Vancouver, Canada, July 16-21, 2006, pp. 6288–6294 (2006)

    Google Scholar 

  16. Kubota, N., Omote, S., Mori, Y.: Emotional Model of A Vision-Based Partner Robot for Natural Communication with Human. In: Proc (CD-ROM) of The 3rd International Conference on Computational Intelligence, Robotics and Autonomous Systems, INV104-104002 (2005)

    Google Scholar 

  17. Kubota, N., Pei, J., Mori, Y.: An Emotional Model for Natural Communication of A Partner Robot. In: Proc. of the 8th International Symposium on advanced Intelligent System, vol. TA03-1, pp. 153–159 (2007)

    Google Scholar 

  18. Kubota, N., Nojima, Y., Baba, N., Kojima, F., Fukuda, T.: Evolving Pet Robot with Emotional Model. In: Proc. of the 2000 Congress on Evolutionary Computation, La Jolla, CA, pp. 1231–1237 (2000)

    Google Scholar 

  19. Kubota, N., Wakisaka, S.: An Emotional Model Based on Location-Dependent Memory for Partner Robots. Journal of Robotics and Mechatronics 21(3), 317–323 (2009)

    Google Scholar 

  20. Kubota, N., Shimizu, T., Abe, M.: Joint Attention of A Partner Robot Based on Computational Intelligence. In: Proc. (CD-ROM) of 2nd International Symposium on Computational Intelligence and Intelligent Informatics (ISCIII 2005), pp. 196–201 (2005)

    Google Scholar 

  21. Kubota, N., Urushizaki, Y.: Communication Interface for Human-Robot Partnership. Journal of Robotics and Mechatronics 16(5), 526–534 (2004)

    Google Scholar 

  22. Kubota, N., Satomi, M., Taniguchi, K., Nogawa, Y.: Human Three-Dimensional Modeling based on Intelligent Sensor Fusion for A Tele-operated Mobile Robot. In: Proc. (CD-ROM) of 11th International Conference, Knowledge-Based Intelligent Information and Engineering Systems, pp. 98–113. Vietri sul Mare, Italy (2007)

    Chapter  Google Scholar 

  23. Kubota, N., Nishida, K.: Fuzzy Computing for Communication of A Partner Robot Based on Imitation. In: Proc. (CD-ROM) of 2005 IEEE International Conference on Robotics and Automation, pp. 4391–4396 (2005)

    Google Scholar 

  24. Kubota, N., Nishida, K.: Human Recognition of A Partner Robot Based on Relevance Theory and Neuro Fuzzy Computing. In: Proc. (CD-ROM) of 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems, Edmonton, Alberta, Canada, August 2-6, 2005, pp. 2812–2817 (2005)

    Google Scholar 

  25. Kubota, N., Nishida, K.: Development of Internal Models for Communication of A Partner Robot Based on Computational Intelligence. In: Proc. of 6th International Symposium on Advanced Intelligent Systems, pp. 577–582 (2005)

    Google Scholar 

  26. Bezdek, J.C.: What is Computational Intelligence? In: Zurada, J.M., Marks II, R.J., Robinson, C.J. (eds.) Computational Intelligence - Imitating Life, pp. 1–12. IEEE Press, Los Alamitos (1994)

    Google Scholar 

  27. Fukuda, T., Kubota, N.: Computational Intelligence for Robotic Systems. In: Kaynak, O., Tosunogle, S., Ang Jr., M. (eds.) Recent Advances in Mechatronics, pp. 13–26. Springer, Heidelberg (1999)

    Google Scholar 

  28. Ballard, D.H.: An Introduction to Natural Computation. The MIT Press, Cambridge (1997)

    Google Scholar 

  29. Lee, C.C.: Fuzzy Logic in Control Systems: Fuzzy Logic Controller - Part I & Part II. IEEE Trans. on Systems, Man, and Cybernetics 20(2), 404–435 (1990)

    Article  MATH  Google Scholar 

  30. Fogel, D.B.: Evolutionary Computation. IEEE Press, Los Alamitos (1995)

    Google Scholar 

  31. Kubota, N., Arakawa, T., Fukuda, T., Shimojima, K.: Motion Planning for A Robotic System with Structured Intelligence. In: Proc. of the 1997 IEEE International Symposium on Computational Intelligence in Robotics and Automation, pp. 60–65 (1997)

    Google Scholar 

  32. Sutton, R.S., Barto, A.G.: Reinforcement Learning. The MIT Press, Cambridge (1998)

    Google Scholar 

  33. Gerstner, W.: Spiking Neurons. In: Maass, W., Bishop, C.M. (eds.) Pulsed Neural Networks, ch. 1, pp. 3–53. MIT Press, Cambridge (1999)

    Google Scholar 

  34. Sutton, R.S.: Learning to Predict by the Methods of Temporal Differences. Machine Learning 3, 9–44 (1988)

    Google Scholar 

  35. Jang, J.S., Sun, C.T., Mizutani, E.: Neuro-Fuzzy and Soft Computing. Prentice-Hall, Inc., Englewood Cliffs (1997)

    Google Scholar 

  36. Sasaki, H., Kubota, N., Taniguchi, K., Nogawa, Y.: Illuminance Measurement and SLAM of a Mobile Robot Based on Computational Intelligence. In: Proc. (CD-ROM) of 7th IEEE International Symposium on Computational Intelligence in Robotics and Automation (CIRA 2007), June 20-23, 2007, pp. 541–545 (2007)

    Google Scholar 

  37. Hatano, G., Okada, N., Tanabe, H. (eds.): Affective Minds, pp. 101–104. Elsevier Science, B. V. (2000)

    Google Scholar 

  38. Kubota, N., Wakisaka, S., Yorita, A.: Tele-operation of Robot Partners through iPod touche. In: 4th International Symposium on Computational Intelligence and Intelligent Informatics (ISCII 2009), October 21-25, pp. 75–80 (2009)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Tokyo Metropolitan University,  

    Naoyuki Kubota & Shiho Wakisaka

Authors
  1. Naoyuki Kubota
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Shiho Wakisaka
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Dept. of Intelligence Science and Technology, Graduate School of Informatics, Kyoto University , Yoshida-Honmachi, Sakyo-ku, 606-8501, Kyoto, Japan

    Toyoaki Nishida

  2. SCT-Building, University of South Australia , Mawson Lakes Campus, Adelaide, South Australia, Australia

    Lakhmi C. Jain

  3. Universitè Paul Cézanne Polytech’ Marseille , Avenue Escadrille Normandie-Niemen, 13397, Marseille Cedex 20, France

    Colette Faucher

Rights and permissions

Reprints and permissions

Copyright information

© 2010 Springer Berlin Heidelberg

About this chapter

Cite this chapter

Kubota, N., Wakisaka, S. (2010). Emotional Model Based on Computational Intelligence for Partner Robots. In: Nishida, T., Jain, L.C., Faucher, C. (eds) Modeling Machine Emotions for Realizing Intelligence. Smart Innovation, Systems and Technologies, vol 1. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12604-8_5

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-12604-8_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-12603-1

  • Online ISBN: 978-3-642-12604-8

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation