Daugiaagentis biorobotu{ogonek} valdymas taikant intelektualizuotus asmenis su judėjimo negalia diagnozės atpažinimo metodus

Translated title of the contribution: An approach of multi-agent control of bio-robots using intelligent recognition diagnosis of persons with moving disabilities

Antanas Andrius Bielskis, Dale Dzemydiene, Vitalij Denisov, Arunas Andziulis, Darius Drungilas

    Research output: Contribution to journalArticle

    9 Citations (Scopus)

    Abstract

    The aims of this research are focused on the construction of intellectualized equipments for people with moving disabilities to help them in sustainable integration into environment. The problem is to reveal main components of diagnosis of disabled persons, as well as to develop decision making models which are integrated into the control mechanisms of the special equipments, that are assigned to the class of bio-robots. This paper analyses the approach of the construction of such type of bio-robots with possibilities to integrate different knowledge representation techniques for the development of the reinforcement framework with multiple cooperative agents for the recognition of the diagnosis of emotional situation of disabled persons. Large-scale of multidimensional recognitions of emotional diagnosis of disabled persons often generate a large amount of multi-dimensional data with complex recognition mechanisms, based on the integration of different knowledge representation techniques and complex inference models. Sensors can easily record primary data; however, the recognition of abnormal situations, cauterisation of emotional stages and resolution for certain type of diagnosis is an oncoming issue for bio-robot constructors. The research results present the development of multi-layered model of this framework with the integration of the evaluation of fuzzy neural control of speed of two wheelchair type robots working in real time by providing moving support for disabled individuals. An approach for representation of reasoning processes, using fuzzy logical Petri nets for evaluation of physiological state of individuals is presented. The reasoning is based on recognition of emotions of persons during their activities.

    Original languageLithuanian
    Pages (from-to)377-394
    Number of pages18
    JournalTechnological and Economic Development of Economy
    Volume15
    Issue number3
    DOIs
    Publication statusPublished - 2009

    Fingerprint

    Robot
    Emotion
    Knowledge representation
    Evaluation
    Sensor
    Decision-making model
    Logic
    Inference
    Integrated
    Reinforcement
    Petri nets
    Control mechanism

    ASJC Scopus subject areas

    • Finance

    Cite this

    Daugiaagentis biorobotu{ogonek} valdymas taikant intelektualizuotus asmenis su judėjimo negalia diagnozės atpažinimo metodus. / Bielskis, Antanas Andrius; Dzemydiene, Dale; Denisov, Vitalij; Andziulis, Arunas; Drungilas, Darius.

    In: Technological and Economic Development of Economy, Vol. 15, No. 3, 2009, p. 377-394.

    Research output: Contribution to journalArticle

    Bielskis, Antanas Andrius ; Dzemydiene, Dale ; Denisov, Vitalij ; Andziulis, Arunas ; Drungilas, Darius. / Daugiaagentis biorobotu{ogonek} valdymas taikant intelektualizuotus asmenis su judėjimo negalia diagnozės atpažinimo metodus. In: Technological and Economic Development of Economy. 2009 ; Vol. 15, No. 3. pp. 377-394.
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    abstract = "The aims of this research are focused on the construction of intellectualized equipments for people with moving disabilities to help them in sustainable integration into environment. The problem is to reveal main components of diagnosis of disabled persons, as well as to develop decision making models which are integrated into the control mechanisms of the special equipments, that are assigned to the class of bio-robots. This paper analyses the approach of the construction of such type of bio-robots with possibilities to integrate different knowledge representation techniques for the development of the reinforcement framework with multiple cooperative agents for the recognition of the diagnosis of emotional situation of disabled persons. Large-scale of multidimensional recognitions of emotional diagnosis of disabled persons often generate a large amount of multi-dimensional data with complex recognition mechanisms, based on the integration of different knowledge representation techniques and complex inference models. Sensors can easily record primary data; however, the recognition of abnormal situations, cauterisation of emotional stages and resolution for certain type of diagnosis is an oncoming issue for bio-robot constructors. The research results present the development of multi-layered model of this framework with the integration of the evaluation of fuzzy neural control of speed of two wheelchair type robots working in real time by providing moving support for disabled individuals. An approach for representation of reasoning processes, using fuzzy logical Petri nets for evaluation of physiological state of individuals is presented. The reasoning is based on recognition of emotions of persons during their activities.",
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