In swarm robotics multiple robots collectively solve problems by forming advantageous
structures and behaviors similar to the ones observed in natural systems, such as swarms of …

Deep reinforcement learning has produced many success stories in recent years. Some
example fields in which these successes have taken place include mathematics, games …

Abstract Recently, Multi-Robot Systems (MRS) have attained considerable recognition
because of their efficiency and applicability in different types of real-life applications. This …

In recent years, there has been a growing interest in designing multi-robot systems
(hereafter MRSs) to provide cost effective, fault-tolerant and reliable solutions to a variety of …

Mobile robots are playing a significant role in Higher Education science and engineering
teaching, as they offer a flexible platform to explore and teach a wide-range of topics such as …

Nature is a neverending source of inspiration for technology. Quantum physics suggests
applications toward quantum computing. Swarms' self-organization leads to robotic swarm …

Formation control gains significant attention in the multi-robot system field as it contributes to
a vast range of applications, such as transportation. This letter presents a constrained …

The paper explores the possibility of using a centralized particle swarm algorithm to
distribute subtasks between «s-bot» one «Swarm-bot» system to solve the main problem …

З появою принципово нових «Swarm-bot» systems, з перебудовуваною структурою та
програмованою логікою, виникла необхідність урахування факторів, які взаємодіють з …

The automation of factories and manufacturing processes has been accelerating over the
past few years, leading to an ever-increasing number of scenarios with networked agents …