Quality control methods and techniques have been investigated in different fields of
manufacturing during the last decades. The introduction of robots in manufacturing …

A system of cooperative unmanned aerial vehicles (UAVs) is a group of agents interacting
with each other and the surrounding environment to achieve a specific task. In contrast with …

Process monitoring techniques are of paramount importance in the chemical industry to
improve both the product quality and plant safety. Small or incipient irregularities may lead to …

Over the past few years, there has been a significant increase in the interest in and adoption
of solar energy all over the world. However, despite ongoing efforts to protect photovoltaic …

Machine Learning (ML) for swarm motion prediction is a relatively unexplored area that
could help sustain and monitor daily swarm robotics collective tasks. This paper focuses on …

Recent studies show that some security features that blockchains grant to decentralized
networks on the internet can be ported to swarm robotics. Although the integration of …

The deployment of robot swarms is influenced by real-world factors, such as motor issues,
sensor failure, and wind disturbances. These factors cause the appearance of faulty robots …

In certain swarm applications, where the inter-agent distance is not the only factor in the
collective behaviours of the swarm, additional properties such as density could have a …

Swarm robots are coordinated via simple control laws to generate emergent behaviors such
as flocking, rendezvous, and deployment. Human-swarm teaming has been widely …

Road Traffic Modeling and Management: Using Statistical Monitoring and Deep Learning
provides a framework for understanding and enhancing road traffic monitoring and …