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PYTHON PACKAGE FOR INTELLIGENT CONTROL SYSTEMS SYNTHESIS of control of a mobile robot moving on a planewith obstacles is considered.
Модульные робототехнические системы control of the physical coupling of modular robots, as well as their informational interaction, are needed
Нейросетевая модель для реализации поисковых движений мобильного робота general
hierarchical neural network control system, suggested
by the author earlier.
Inspection robots with piezo actuators: modeling, simulation and prototypesModels, simulations and experimental setups of resonant inspection robots are presented. The goal
Study of the Practical Convergence of Evolutionary Algorithms for the Optimal Program Control of a Wheeled Robot control of a mobile robot with phase constraints. Indicators of the best objective functional value
Technical Features of Robot-Assisted Prostatectomy in Patients with Very Enlarged ProstatesTechnical Features of Robot-Assisted Prostatectomy in Patients with Very Enlarged Prostates
Technical Features of Robot-Assisted Prostatectomy in Patients with Very Enlarged ProstatesTechnical Features of Robot-Assisted Prostatectomy in Patients with Very Enlarged Prostates
Activity Recognition Based on Artificial Neural Network Approach using PIQ RobotThis paper presents and explains an implementation of Learning Vector Quantization neural
network
Deep learning based fuzzy-MPC controller for satellite combined energy and attitude control system.e., as both energy storage and attitude control device. This maiden work attempts to introduce a novel Deep-Learning
METHOD OF SYNTHESIZED OPTIMAL CONTROL FOR A GROUP OF ROBOTSBackground. A group of robots is a complex control object with dynamic phase constraints. To date
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