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Neuro-semantic Industrial Control
Ivaniuk, D.
(neuro-control as part of Artificial Intelligence, AI) between robots (robotic systems) and humans.
Оценка эффективности применения сетей Колмогорова-Арнольда в задачах управления пожарными роботами : научное издание
Пожаркова Ирина Николаевна
of the effectiveness of using Kolmogorov-Arnold networks in the tasks of controlling fire robots, in particular
Development control systems takeover: Subject robotic arm on the example anthropomorhic robot AR-601
Sirazetdinov R., Devaev V., Zakirzyanova G.
It is proposed the formation software architecture of complex motion for robotic systems
Modelling a Crawler Robot Using Wheels as Pseudo-Tracks: Model Complexity vs Performance
Moskvin I., Lavrenov R., Magid E., Svinin M.
and rescue. Before new algorithms and concepts could be integrated into a real robot control system
Optimal Motion Control for Multi-Robot System by Multilayer Network Operator
Diveev A.I., Shmalko E.Yu.
We are addressing the problem of designing an autonomous feedback control for a group of robots
Tactical level of intelligent geometric control system for unmanned aerial vehicles
Khachumov M.
geometric and adaptive intelligent control methods as parts of a single robotic system. The solution
Comparative analysis of mobile robot wheels design
Shabalina K., Sagitov A., Magid E.
© 2018 IEEE. This paper considers a design of wheeled mobile robot platforms. Each platform
Hetero-associative memory technology for development of intelligent control systems of autonomous mobile robots
Prakapovich, R.
The problems of creating artificial intelligence tech- nologies in the control of service robots
The memristive artificial neuron high level architecture for biologically inspired robotic systems
Talanov M., Zykov E., Erokhin V., Magid E., Distefano S.
simulation of a mammalian brain into a robotic system. Originally, this simulation has been developed through
Are pre-service teachers disinclined to utilise embodied humanoid social robots in the classroom?
Istenic A., Bratko I., Rosanda V.
and practice need to address how social robots could be integrated into current teaching and learning practices

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