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.
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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
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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
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