English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

The article discusses the possibility of applying neurointerface together with different types of regulators via the typical example of controlling an autonomous vehicle. There is an assessment of application possibilities of intelligent computing methods and means to improve the control system performance reliability. The aim of this work is to show experimentally the possibilities of cognitive interface effective application (“brain-computer-actuating device”) on the example of motor vehicle driving (a mobile robot). The paper also reveals modern management technologies application and shows the role and the necessity of intelligent computing in the operating “brain-computer” interface in order to improve the reliability and robustness of the control system. In particular, the paper considers the possibility of controlling the movement of the object (forward, backward, left, right, bypass obstacles) with the help of a cognitive helmet using a standard command recognition block and different types of control systems, including knowledge base optimizer based on soft computing.

Гибридные когнитивные нечеткие системы управления автономным роботом на основе нейроинтерфейса и технологии мягких вычислений