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
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