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Elevating Mobile Robotics: Pioneering Applications of Artificial Intelligence and Machine Learning of subsumption architecture in the realm of mobile robot control. Through this review, the effectiveness

Reinforcement Learning for Solving Control Problems in Robotics †The use of reinforcement learning technology for the optimal control problem solution is considered

Learning Mobile Robot Based on Adaptive Controlled Markov Chains of the decision taker who controls the robot, which in its turn is managed by the Markov chain. Set

E-learning solutions for teaching foreign language to correspondence students presentation of new material, as well as the control of learning outcomes. The experimental part presents

Master program students experiences in robot operating system course novel master program in Intelligent Robotics, which was established based on the analysis of curriculums

Unsupervised Machine Learning Control Techniques for Solving the General Synthesis of Control System ProblemThe focus of this study is a relatively new development in the field of control: machine learning

Agent-space transfer learning for sign-based world model are suitable for a semiotic control system to facilitate experience transfer between two learning agents

Comparing Recurrent Neural Networks and Symbolic regression methods for researchers and engineers striving to refine robot motion control using cutting-edge machine learning

Modelling a Crawler Robot Using Wheels as Pseudo-Tracks: Model Complexity vs PerformanceModelling a Crawler Robot Using Wheels as Pseudo-Tracks: Model Complexity vs Performance

Towards robot fall detection and management for russian humanoid AR-601
is the main threat to safety and successful operation of humanoid robots, and thus it is critical to explore

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