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dc.contributor.authorSabourin, Christophe
dc.contributor.authorKurosh Madani
dc.contributor.authorBruneau, Olivier
dc.coverage.spatialBrestru_RU
dc.date.accessioned2023-11-28T10:48:00Z
dc.date.available2023-11-28T10:48:00Z
dc.date.issued2006
dc.identifier.citationSabourin, C. A Fuzzy-CMAC Based Hybrid Intuitive Approach for Biped Robot’s Adaptive Dynamic Walking / Christophe Sabourin, Kurosh Madani, Olivier Bruneau // International Conference on Neural Networks and Artificial Intelligence : proceedings, Brest, 31 May – 2 June, 2006 / Edited: V. Golovko [et al.]. – Brest : BSTU, 2006. – P. 78–83 : il. – Bibliogr.: p. 83 (17 titles).ru_RU
dc.identifier.urihttps://rep.bstu.by/handle/data/37231
dc.descriptionКристоф Сабурин, Курош Мадани, Бруно Оливье. Гибридный интуитивный подход на основе нечеткой CMAC для адаптивной динамической ходьбы двуногого роботаru_RU
dc.description.abstractIn this paper, we have proposed a new neural network based hybrid intuitive approach for biped robot's adaptive walking. Our approach takes advantage on the one hand from a Fuzzy-CMAC based stage and on the other hand from high level intuitive control strategy involving only the regulation of the robot’s average velocity. The main interest of this approach is to proffer to the walking robot autonomy and robustness, involving only one parameter: the average velocity. Experimental results validating the proposed intelligent hybrid control strategy have been presented and discussed.ru_RU
dc.language.isoenru_RU
dc.publisherBrSTUru_RU
dc.subjectartificial Neural Networksru_RU
dc.subjectискусственные нейронные сетиru_RU
dc.subjectfuzzy-CMACru_RU
dc.subjectautonomous Walkingru_RU
dc.subjectавтономная ходьбаru_RU
dc.subjectbiped robotsru_RU
dc.subjectдвуногие роботыru_RU
dc.titleA Fuzzy-CMAC Based Hybrid Intuitive Approach for Biped Robot’s Adaptive Dynamic Walkingru_RU
dc.title.alternativeГибридный интуитивный подход на основе нечеткой CMAC для адаптивной динамической ходьбы двуногого роботаru_RU
dc.typeНаучный доклад (Working Paper)ru_RU


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