Artificial Intelligence (AI) can enable the development of next-generation autonomous safety-
critical systems in which Machine Learning (ML) algorithms learn optimized and safe …

Artificial intelligence (AI) has been applied to a wide spectrum of industrial sectors, but
manual operations remain indispensable in most manufacturing systems due to high …

Pushing back the frontiers of collaborative robots in industrial environments, we propose a
new Separable-Sparse Graph Convolutional Network (SeS-GCN) for pose forecasting. For …

Collaborative robots are increasingly used in different fields of application to physically
interact with the human (eg, manufacturing, rehabilitation, etc.) In order to improve the …

The manufacturing sector is a fundamental pillar of worldwide economies, contributing
markedly to global economic growth. However, the manufacturing industry is persistently …

This paper presents results of pilot experiments that were run to study a human interaction
with the UR5e collaborative 6-axis robot manipulator in a cooperative assembly task. The …

As a result of advances in both technology and science, it is now possible to carry out
essential processes such as lifting objects and moving them by remote control of an arm. In …

Manipulators are increasingly used in industry to improve efficiency in jobs that require
precision, long duration, and repetitive work. This research was conducted on a laboratory …

In comparison to the traditional usage of robots, Cobotization (Human-Robot collaboration)
can be considered as an effective way to increase the productivity of assembly lines while …

This article presents a study on the neurobiological control of voluntary movements for
anthropomorphic robotic systems. A corticospinal neural network model has been …