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Semantics-based control of the group of intelligent robotsIn this paper we offer architecture of a software
part of an intelligent robot group designed
Optimal Trajectories Synthesis of a Mobile Robots Group Using Cartesian Genetic Programming trajectories of a mobile robots group. The problem of a control system synthesis for a mobile robots group
Collision avoidance system synthesis for a group of robots in unsupervised learning paradigm [Синтез системы разрешения коллизий для группы роботов в парадигме обучения без учителя] scope within which they can interact with static and dynamic phase constraints. A group of robots
Synthesised Optimal Control for a Robotic Group by Complete Binary Genetic Programming* control problem with phase constraints for a group of robots is considered. To solve the problem
Optimal Control Synthesis for Group of Robots by Multilayer Network OperatorA synthesis of optimal control for a group of robots is considered. Suppose every robot of group
Modeling tracks and controller for servosila engineer robot on these mistakes causing no damage to the robot. This paper presents a creation of model for crawler robot
Control System Synthesis Based on Optimal Trajectories Approximation by Symbolic Regression for Group of Robots for a group of car-like mobile robots in space with dynamic and static phase constraints is presented
Evolutionary Algorithms for Optimal Control Problem of Mobile Robots Group InteractionEvolutionary Algorithms for Optimal Control Problem of Mobile Robots Group Interaction
Acceleration of the Multilayer Network Operator Method Using MPI for Mobile Robot Team Control SynthesisThe paper is devoted to the problem of machine-made synthesis of control for robotic teams
Collision avoidance at swarm regrouping using modified network operator method with various number of arguments interference a modified network operator of a particular robot represents a control function from discrepancy
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