Adaptive control of modular robots

Alexander V. Demin, Evgenii E. Vityaev

Результат исследования: Публикации в книгах, отчётах, сборниках, трудах конференцийстатья в сборнике материалов конференциинаучнаярецензирование

2 Цитирования (Scopus)

Аннотация

This paper proposes a learning control system of modular systems with a large number of degrees of freedom based on joint learning of modules, starting with finding the common control rules for all modules and finishing with their subsequent specification in accordance with the ideas of the semantic probabilistic inference. With an interactive 3D simulator, a number of successful experiments were carried out to train three robot models: snake-like robot, multiped robot and trunk-like robot. Pilot studies have shown that the approach proposed is quite effective and can be used to control the complex modular systems with many degrees of freedom.

Язык оригиналаанглийский
Название основной публикацииBiologically Inspired Cognitive Architectures (BICA) for Young Scientists - Proceedings of the 1st International Early Research Career Enhancement School on BICA and Cybersecurity, FIERCES 2017
РедакторыAlexei V. Samsonovich, Alexei V. Samsonovich, Valentin V. Klimov
ИздательSpringer Nature
Страницы205-212
Число страниц8
ISBN (печатное издание)9783319639390
DOI
СостояниеОпубликовано - 2018
Опубликовано для внешнего пользованияДа
Событие1st International Early Research Career Enhancement School on Biologically Inspired Cognitive Architectures, FIERCES on BICA 2017 - Moscow, Российская Федерация
Продолжительность: 1 авг 20176 авг 2017

Серия публикаций

НазваниеAdvances in Intelligent Systems and Computing
Том636
ISSN (печатное издание)2194-5357
ISSN (электронное издание)2194-5365

Конференция

Конференция1st International Early Research Career Enhancement School on Biologically Inspired Cognitive Architectures, FIERCES on BICA 2017
СтранаРоссийская Федерация
ГородMoscow
Период01.08.201706.08.2017

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  • Цитировать

    Demin, A. V., & Vityaev, E. E. (2018). Adaptive control of modular robots. В A. V. Samsonovich, A. V. Samsonovich, & V. V. Klimov (Ред.), Biologically Inspired Cognitive Architectures (BICA) for Young Scientists - Proceedings of the 1st International Early Research Career Enhancement School on BICA and Cybersecurity, FIERCES 2017 (стр. 205-212). (Advances in Intelligent Systems and Computing; Том 636). Springer Nature. https://doi.org/10.1007/978-3-319-63940-6_29