Abstract
In this paper, a human-robot speech interface for mobile technology is described which consists of intelligent mechanisms of human identification, speech recognition, word and command recognition, command meaning and effect analysis, command safety assessment, process supervision as well as human reaction assessment. A review of selected issues is carried out with regards to recognition and evaluation of speech commands in natural language using hybrid neural networks. The paper presents experimental results of automatic recognition and evaluation of spoken commands of a manufacturing robot model simulating the execution of laser processing tasks in a virtual production process.
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References
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O’Shaughnessy, D.: Speech Communications: Human and Machine. IEEE Computer Society Press, New York (2000)
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© 2009 Springer-Verlag Berlin Heidelberg
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Kacalak, W., Majewski, M. (2009). Natural Language Human-Robot Interface Using Evolvable Fuzzy Neural Networks for Mobile Technology. In: Huang, DS., Jo, KH., Lee, HH., Kang, HJ., Bevilacqua, V. (eds) Emerging Intelligent Computing Technology and Applications. ICIC 2009. Lecture Notes in Computer Science, vol 5754. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04070-2_54
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DOI: https://doi.org/10.1007/978-3-642-04070-2_54
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-04069-6
Online ISBN: 978-3-642-04070-2
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