This paper introduces an intelligent system able to perform quality control assessment in an
industrial production line. Deep learning techniques are employed and proved successful in …

Robotics solutions in the industrial sector are moving towards higher degrees of flexibility. In
such a context, the latest research is focused on grasping technologies for material …

Demands for display panels and relevant technologies are rapidly increasing with the recent
advances in smart mobile devices. Many manufacturers have begun slowly investing in fully …

Deep learning methods have revolutionized computer vision since the appearance of
AlexNet in 2012. Nevertheless, 6 degrees of freedom pose estimation is still a difficult task to …

Railways safety regulations require the drivers acting on a pedal to signal that they are
awake and vigilant. This implies a noticeable biomechanical load on the driver. In this work …

In this paper, a preliminary baseball player behavior classification system is proposed. By
using multiple IoT sensors and cameras, the proposed method accurately recognizes many …

Abstract The impact that Artificial Intelligence is having in modern society is undeniable.
Many companies are now using AI to improve the throughput and automate their processes …

Ensembling methods are well known for improving prediction accuracy. However, they are
limited in the sense that they cannot discriminate among component models effectively. In …

In many applications, robots should be able to move autonomously in semi-structured or
unstructured environments. Autonomous robots can be employed for instance in area …

Autonomous navigation is a complex task that requires both sensing capabilities to react to
sudden environmental changes or map the environment and reasoning to schedule the next …