Персона: Кудрявцев, Константин Яковлевич
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Институт интеллектуальных кибернетических систем
Цель ИИКС и стратегия развития - это подготовка кадров, способных противостоять современным угрозам и вызовам, обладающих знаниями и компетенциями в области кибернетики, информационной и финансовой безопасности для решения задач разработки базового программного обеспечения, повышения защищенности критически важных информационных систем и противодействия отмыванию денег, полученных преступным путем, и финансированию терроризма.
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- ПубликацияТолько метаданныеThe Method of Statistical Estimation of the Minimum Number of Tests for Reliable Evaluation of the Robotic Multi-channel Control Systems Quality(2019) Kudryavtsev, K. Y.; Cherepanov, A. V.; Voznenko, T. I.; Dyumin, A. A.; Gridnev, A. A.; Chepin, E. V.; Кудрявцев, Константин Яковлевич; Возненко, Тимофей Игоревич; Дюмин, Александр Александрович; Гриднев, Александр Александрович; Чепин, Евгений Валентинович© 2019, Springer Nature Switzerland AG. There is a growth in adoption of multi-channel (tactile, voice, gesture, brain-computer interface, etc.) control systems for mobile robots that help to improve its reliability. But, a complex control system requires a large number of tests to determine the quality of operation. Hence, multi-channel control systems are subjects of rigorous testing process for estimation of the number of successful command recognitions and the number of errors. The more tests will be conducted, the more accurate evaluation of the control channel quality will be. However, in most cases, carrying out the tests is expensive and time-consuming. Therefore, it is necessary to determine the minimum number of tests required to evaluate channel control quality with a given significance level. In this paper we propose a technique for determining the minimum required number of tests. Experimental results of evaluating the multichannel control system of the mobile robotic wheelchair using this technique are presented.
- ПубликацияТолько метаданныеComparison Between Coordinated Control and Interpretation Methods for Multi-channel Control of a Mobile Robotic Device(2021) Voznenko, T. I.; Gridnev, A. A.; Chepin, E. V.; Kudryavtsev, K. Y.; Возненко, Тимофей Игоревич; Гриднев, Александр Александрович; Чепин, Евгений Валентинович; Кудрявцев, Константин Яковлевич© 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.Control methods of the mobile robotic device can be divided into single-channel and multi-channel. A single-channel control method is a control method that uses a single data channel. Each control channel has its own operational features that can affect the quality of control. In order to take advantage of multiple control channels, multi-channel control is used. In multi-channel control information comes from different, heterogeneous, independent control channels. The task of the control system is to make a decision and choose valid (the most probable) command. There are two approaches to this problem: coordinated control and decomposition of multi-channel control into single-channel control. The decomposition method implies ignoring of command information from not selected channels and commands. The interpretation method allows using such command information to improve the quality of control of a mobile robotic device. In this paper, we consider coordinated control and interpretation methods and also compare implementations of these control methods for multi-channel control of a mobile robotic device.
- ПубликацияТолько метаданныеThe Decomposition Method of Multi-channel Control System Based on Extended BCI for a Robotic Wheelchair(2020) Voznenko, T. I.; Gridnev, A. A.; Kudryavtsev, K. Y.; Chepin, E. V.; Возненко, Тимофей Игоревич; Гриднев, Александр Александрович; Кудрявцев, Константин Яковлевич; Чепин, Евгений Валентинович© 2020, Springer Nature Switzerland AG.There are a number of ways to control a mobile robotic device, in particular robotic wheelchair. One of this ways is an extended brain-computer interface (extended BCI) – robotic control system with simultaneous independent alternative control channels (BCI, voice and gesture control channels). Because of each channel has advantages and disadvantages the combination of some channels (multi-channel control) can be used. However, when commands are executed from several control channels, various conflicts may arise: for example, one command comes from one control channel, and some opposite commands (which cannot be executed simultaneously) that come from the other channels. To resolve such conflicts, two methods can be used: coordinated control and decomposition. Both of these methods are based on a quality evaluation of each control channel. To evaluate the quality of those control channels the different parameters can be used. This paper proposes a decomposition method of multi-channel control system based on proposed parameter. This technique allows to choose the best channel-command combinations based on type I and type II errors.