Abstract
This paper proposes a multi-modal communication method for human-friendly robot partners based on various types of sensors. We explain informationally structured space to extend the cognitive capabilities of robot partners based on environmental systems. We propose an integration method for estimating human behaviors using sound source angle information, and gesture recognition by the multi-layered spiking neural network with the time series of human hand positions. Finally, we show several experimental results of the proposed method, and discuss the future direction on this research.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Sperber, D., Wilson, D.: Relevance - Communication and Cognition. Blackwell Publishing Ltd (1995)
Kubota, N., Yorita, A.: Structured Learning for Partner Robots based on Natural Communication. In: Proc (CD-ROM) of 2008 IEEE Conference on Soft Computing in Industrial Applications, pp. 303–308 (2008)
Kimura, H., Kubota, N., Cao, J.: Natural Communication for Robot Partners Based on Computational Intelligence for Edutainment. In: Mechatronics 2010, pp. 610–615 (2010)
Kubota, N., Yorita, A.: Topological Environment Reconstruction in Informationally Structured Space for Pocket Robot Partners. In: 2009 IEEE International Symposium on Computational Intelligence in Robotics and Automation, pp. 165–170 (2009)
Obo, T., Kubota, N., Lee, B.H.: Localization of Human in Informationally Structured Space Based on Sensor Networks. In: Proc. of IEEE WCC 2010, pp. 2215–2221 (2010)
Mirza, N.A., Nehaniv, C.L., Dautenhahn, K., te Boekhorst, R.: Using temporal information distance to locate sensorimotor experience in a metric space. In: Proc. of IEEE CEC 2005, pp. 150–157 (2005)
Kubota, N., Hisajima, D., Kojima, F., Fukuda, T.: Fuzzy and Neural Computing for Communication of A Partner Robot. Journal of Multiple-Valued Logic and Soft-Computing 9(2), 221–239 (2003)
Kubota, N., Ito, Y., Abe, M., Kojima, H.: Computational Intelligence for Natural Communication of Partner Robots. In: ASAEM 2005, Technical Section B-11 (2005)
Obo, T., Kubota, N., Taniguchi, K., Sawaya, T.: Human Localization Based on Spiking Neural Network in Intelligence Sensor Networks. In: SSCI 2011, pp. 125–130 (2011)
Maass, W., Bishop, C.M.: Pulsed Neural Networks. MIT Press (1999)
Gerstner, A.W.: Spiking Neurons. In: Maass, W., Bishop, C.M. (eds.) Pulsed Neural Networks, ch. 1, pp. 3–53. MIT Press (1999)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Masuyama, N., Chan, C.S., Kuobota, N., Woo, J. (2012). Computational Intelligence for Human Interactive Communication of Robot Partners. In: Anthony, P., Ishizuka, M., Lukose, D. (eds) PRICAI 2012: Trends in Artificial Intelligence. PRICAI 2012. Lecture Notes in Computer Science(), vol 7458. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32695-0_71
Download citation
DOI: https://doi.org/10.1007/978-3-642-32695-0_71
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-32694-3
Online ISBN: 978-3-642-32695-0
eBook Packages: Computer ScienceComputer Science (R0)