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2016 | OriginalPaper | Buchkapitel

Interactive Collaborative Robotics and Natural Language Interface Based on Multi-agent Recursive Cognitive Architectures

verfasst von : Murat Anchokov, Vladimir Denisenko, Zalimkhan Nagoev, Zaurbek Sundukov, Boris Tazhev

Erschienen in: Interactive Collaborative Robotics

Verlag: Springer International Publishing

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Abstract

The article represents a review of the world current state in robotics, its fields of implementation and application. It provides a description of a complex collaborative robotic system for monitoring and reconnaissance of leaks and spills of flammable, explosive and toxic substances, for elimination and prevention of accidents aftermaths. The work describes the robotic system software and functional modules. It introduces methods and algorithms of natural language interaction on the basis of multi-agent recursive cognitive architecture.

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Literatur
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Zurück zum Zitat Nagoev, Z.V.: Multiagent recursive cognitive architecture. In: Chella, A., Pirrone, R., Sorbello, R., Jóhannsdóttir, K.R. (eds.) Biologically Inspired Cognitive Architectures 2012. AISC, vol. 196, pp. 247–248. Springer, Heidelberg (2013)CrossRef Nagoev, Z.V.: Multiagent recursive cognitive architecture. In: Chella, A., Pirrone, R., Sorbello, R., Jóhannsdóttir, K.R. (eds.) Biologically Inspired Cognitive Architectures 2012. AISC, vol. 196, pp. 247–248. Springer, Heidelberg (2013)CrossRef
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Zurück zum Zitat Nagoev, Z., Nagoeva, O., Tokmakova, D.: System essence of intelligence and multi-agent existential mappings. Hybrid Intell. Syst. 420, 67–76 (2016). Springer, SwitzerlandCrossRef Nagoev, Z., Nagoeva, O., Tokmakova, D.: System essence of intelligence and multi-agent existential mappings. Hybrid Intell. Syst. 420, 67–76 (2016). Springer, SwitzerlandCrossRef
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Zurück zum Zitat Ivanov, P., Nagoev, Z., Pshenokova, I., Tokmakova, D.: Forming the multi-modal situation context in ambient intelligence systems on the basis of self-organizing cognitive architectures. In: 5th Morld Congress on Information and Communication Technologies (WICT 14–16 December, Morocco) (2015) Ivanov, P., Nagoev, Z., Pshenokova, I., Tokmakova, D.: Forming the multi-modal situation context in ambient intelligence systems on the basis of self-organizing cognitive architectures. In: 5th Morld Congress on Information and Communication Technologies (WICT 14–16 December, Morocco) (2015)
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Zurück zum Zitat Anchokov, M.I.: Solution to the problem of training a multi-agent neural network by means of a multi-chromosome genetic algorithm. In: 14th International Conference on Hybrid Intelligent Systems (HIS 2014), Kuwait, pp. 97–103 (2014) Anchokov, M.I.: Solution to the problem of training a multi-agent neural network by means of a multi-chromosome genetic algorithm. In: 14th International Conference on Hybrid Intelligent Systems (HIS 2014), Kuwait, pp. 97–103 (2014)
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Zurück zum Zitat Pshenokova, I.A., Kudaev, V.C., Anchokov, M.I., Gladkov, L.A.: Development of software infrastructure based on multi-agent recursive cognitive architecture for objects representation in artificial intelligence systems. Izvestia KBNC RANб 6(2)(68), 166–173 (2015) (in Russian) Pshenokova, I.A., Kudaev, V.C., Anchokov, M.I., Gladkov, L.A.: Development of software infrastructure based on multi-agent recursive cognitive architecture for objects representation in artificial intelligence systems. Izvestia KBNC RANб 6(2)(68), 166–173 (2015) (in Russian)
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Zurück zum Zitat Denisenko, V.A., Nagoev, Z.V., Nagoeva, O.V.: Design of computer systems based on cognitive recursive architecture for the problem of synthesis of intellectual behavior agent. Softw. Syst. Comput. Methods 3, 264–267 (2013). (in Russian) Denisenko, V.A., Nagoev, Z.V., Nagoeva, O.V.: Design of computer systems based on cognitive recursive architecture for the problem of synthesis of intellectual behavior agent. Softw. Syst. Comput. Methods 3, 264–267 (2013). (in Russian)
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Zurück zum Zitat Pshenokova, I.A., Denisenko, V.A., Nagoeva, O.V., Sundukov, Z.A: Knowledge representation in artificial intelligence systems based on the principles of ontoneuromorphogenesis and multi-agent modeling. Izvestia KBNC RAN 6(2)(68), 158–165 (2015) (in Russian) Pshenokova, I.A., Denisenko, V.A., Nagoeva, O.V., Sundukov, Z.A: Knowledge representation in artificial intelligence systems based on the principles of ontoneuromorphogenesis and multi-agent modeling. Izvestia KBNC RAN 6(2)(68), 158–165 (2015) (in Russian)
Metadaten
Titel
Interactive Collaborative Robotics and Natural Language Interface Based on Multi-agent Recursive Cognitive Architectures
verfasst von
Murat Anchokov
Vladimir Denisenko
Zalimkhan Nagoev
Zaurbek Sundukov
Boris Tazhev
Copyright-Jahr
2016
DOI
https://doi.org/10.1007/978-3-319-43955-6_14