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Far East Federal University (FEFU) researchers presented a new method for the development of diagnostic devices for robots. The proposed approach may form the basis of computer programs to monitor the condition and failures of sophisticated robotic systems used in industry. The results of a study carried out under a grant from the Russian Science Foundation have been published in the International Journal of Applied Mathematics and Computer Science.
As explained by the developer, a professor of the FEFU School of Engineering Alexey Zhirabok, one of the most pressing challenges of modern robotics is to provide fault tolerance—that is, robots perform their functions even if some elements are disrupted. In order to detect problems in a timely manner, the machines are provided with diagnostic means that are described by mathematical equations.
"No mechanical system is completely immune to an influence of external factors or disturbances that result in failure. "Our logic-dynamic approach allows for the creation of robot diagnostic means with minimal sensitivity to such perturbations and significantly reduce the likelihood of false information," Alexey Zhirabok said.
Researchers note that today's industrial robots use a cumbersome mathematical apparatus for diagnostics that does not provide high validity. The new approach allows one to create accurate diagnostic means using simple linear algebra and to provide robotics systems with effective control devices.
Members of the Department of Automation and Control of the Far Eastern Federal University School of Engineering Alexey Zhirabok, Sergey Solyanik, Alexey Suvorov and a member of the School of Economics and Management Alexey Shumsky took part in the study.