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May 25, 2026
HSE Scientists Train Neural Network to 'Hear' Faults in Electric Motors
Researchers at the AI and Digital Science Institute of the HSE Faculty of Computer Science have developed a new method—the Signature-Guided Data Augmentation (SGDA) framework—that achieves 99% accuracy in motor fault detection and 86% accuracy in fault classification. The application of this approach can reduce industrial equipment repair costs, minimise downtime, and improve production safety. The study results have been published in Engineering Applications of Artificial Intelligence.
May 25, 2026
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Maria Mizernaia studies Soviet literature and the history of book publishing. In this interview for the HSE Young Scientists project, she discusses plans to publish a novel about besieged Leningrad, AI-provoked reflections on what it means to be human, and how novels can help satisfy our dopamine hunger.
May 25, 2026
Is It Possible to Predict a Citys Life Based on the Shape of Its Neighbourhoods?
Is it possible to predict, based on the configuration of streets and buildings, where a café will open or where traffic congestion will occur? Participants in the Spatial Analysis and Modelling of Urban Processes research and study group use open data and machine learning to identify universal patterns. Alexander Sheludkov and Eduard Somov discuss the purpose of comparing cities, the need for new forms of urban statistics, and how open data is transforming approaches to urban studies.

 

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Servosila Engineer Crawler Robot Modelling in Webots Simulator

International Journal of Mechanical Engineering and Robotics Research. 2022. Vol. 11. No. 6. P. 417–421.
Dobrokvashina A., Lavrenov R., Magid E., Bai Y., Svinin M., Meshcheryakov R.

In robotics, a simulation is an essential stage on a way of transferring a theoretical idea into a real world application. Since each popular simulator for robotics has particular advantages and shortcomings, it could be beneficial to simulate an algorithm behavior in several modelled instances prior to its integration into a real robot control system. This paper presents a new model of the Russian crawler type robot Servosila Engineer for the Webots simulator, which extends our previous work within the Gazebo simulator. The robot control is implemented with Robot Operating System (ROS). Webots-based simulations were reproduced using our mature Servosila Engineer robot model in Gazebo and validated within real random step environments of the laboratory © 2022 Int. J. Mech. Eng. Rob. Res

Research target: Computer Science Mechanics and Mechanical Engineering
Language: English
DOI
Text on another site
Keywords: мобильный роботsimulationmodellingROSmobile robotServosila EngineerUrban search and rescueCrawler robotWebots
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