Skip to main content

A Decision Making for a Robot Based on Simple Interaction with Human

  • Conference paper
Book cover Intelligent Interactive Multimedia: Systems and Services

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 14))

Abstract

Recently, an intelligent robot is expected to operate our living area. To realize, a robot should make a decision for action from a simple order by human. For decision making of a robot, it is important that a perception of environmental situation and adaptation to the preference of a person. We have proposed the learning method based on SOM to adapt environmental situation and the preference of human. Through experiments by simulation, we verified that the proposed method can consider the changing of attribution by time variation. And, the decision making of a robot can be adapted to the preference of a person through interaction with a person.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Mitsunaga, N., Miyashita, Z., Shinozawa, K., Miyashita, T., Ishiguro, H., Hagita, N.: What makes people accept a robot in a social environment. In: International Conference on Intelligent Robots and Systems, pp. 3336–3343 (2008)

    Google Scholar 

  2. Masuta, H., Kubota, N.: An Integrated Perceptual System of Different Perceptual Elements for an Intelligent Robot. Journal of Advanced Computational Intelligence and Intelligent Informatics 14(7), 770–775 (2010)

    Google Scholar 

  3. Sato, E., Yamaguchi, T., Harashima, F.: Natural Interface Using Pointing Behavior for Human-Robot Gestural Interaction. IEEE Transactions on Industrial Electronics 54(2), 1105–1112 (2007)

    Article  Google Scholar 

  4. Chong, N.Y., Hongu, H., Ohba, K., Hirai, S., Tanie, K.: Knowledge Distributed Robot Control Framework. In: Proc. Int. Conf. on Control, Automation, and Systems, pp. 22–25 (2003)

    Google Scholar 

  5. Nishiyama, M.: Robot Vision Technology for Target Recognition. Toshiba Review 64(1), 40–43 (2009)

    Google Scholar 

  6. Oggier, T., Lehmann, M., Kaufmannn, R., Schweizer, M., Richter, M., Metzler, P., Lang, G., Lustenberger, F., Blanc, N.: An all-solid-state optical range camera for 3D-real-time imaging with sub-centimeter depth-resolution (Swiss Ranger). In: Proceedings of SPIE, vol. 5249, pp. 634–545 (2003)

    Google Scholar 

  7. OpenRTM-aist, http://www.openrtm.org/

  8. Ando, N., Kurihara, S., Biggs, G., Sakamoto, T., Nakamoto, H.: Software Deployment Infrastructure for Component Based RT-Systems. Journal of Robotics and Mechatronics 23(3), 350–359 (2011)

    Google Scholar 

  9. Matsusaka, Y.: Open Source Software for Human Robot Interaction. In: Proceedings of IROS 2010 Workshop on Towards a Robotics Software Platform (2010)

    Google Scholar 

  10. Gibson, J.J.: The ecological approach to visual perception. Lawrence Erlbaum Associates, Hillsdale (1979)

    Google Scholar 

  11. Lee, D.N.: Guiding movement by coupling taus. Ecological Psychology 10(3-4), 221–250 (1998)

    Article  Google Scholar 

  12. Kohonen, T.: Self-Organizing Maps. Springer (2000)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Hiroyuki Masuta .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Masuta, H., Tamura, Y., Lim, Ho. (2012). A Decision Making for a Robot Based on Simple Interaction with Human. In: Watanabe, T., Watada, J., Takahashi, N., Howlett, R., Jain, L. (eds) Intelligent Interactive Multimedia: Systems and Services. Smart Innovation, Systems and Technologies, vol 14. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29934-6_1

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-29934-6_1

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-29933-9

  • Online ISBN: 978-3-642-29934-6

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics