In the multiple fields covered by Artificial Intelligence (AI), path planning is undoubtedly one
of the issues that cover a wide range of research lines. To be able to find an optimal solution …

In the last years, Multi-Robot Systems (MRS) have experienced considerable recognition
due to various possible real-world applications. Multi-Robot Task Allocation (MRTA) is …

Traditional quantum-based evolutionary algorithms are intended to solve single-objective
optimization problems or multiobjective small-scale optimization problems. However …

Abstract Nowadays, Multi Robotic System (MRS) consisting of different robot shapes, sizes
and capabilities has received significant attention from researchers and are being deployed …

Advances in the field of unmanned aerial vehicles (UAVs) have led to an exponential
increase in their market, thanks to the development of innovative technological solutions …

Unmanned aerial vehicles (UAVs) have grown in popularity over the last decade, with
applications ranging from agriculture to commercial and widespread use in search and …

This paper proposes a distance-based formation control strategy with real-time disturbance
rejection for omnidirectional mobile robots. The introduced control algorithm is designed …

Governmental organizations, nongovernmental organizations (NGO), and intergovernmental
organizations devote considerable resources to preventing, mitigating, preparing …

This paper presents a novel approach for Multi-Robot Task Allocation (MRTA) that
introduces priority policies on preemptive task scheduling and considers dependencies …

Internet of Things (IoT) is expected to enable a myriad of applications by interconnecting
objects-such as sensors and robots-over the Internet. IoT applications range from healthcare …