In this paper, an overview of the artificial neural networks is presented. Their main and
popular types such as the multilayer feedforward neural network (MLFFNN), the recurrent …

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 …

In this manuscript, a recurrent neural network is proposed for variable admittance control in
human–robot cooperation tasks. The virtual damping and the virtual inertia of the designed …

I would like to thank everyone who contributed to the progress of the practical and
theoretical parts of my PhD preparation. I would like to start with my supervisor Prof. Nikos A …

This article investigates the task of folding a fabric using a human–robot collaboration (HRC)
solution. HRC is a widely adopted concept in the industrial realm, as physical interaction …

A estimação em tempo real é um dos tópicos mais importantes na engenharia,
principalmente em sistemas não-lineares, presentes em praticamente todas as aplicações …

Artificial Intelligence (AI) requires machines capable of learning and generalizing from data
without being explicitly programmed to do so, giving rise to the field of Machine Learning …

Computer Vision emerges as a cornerstone field within Artificial intelligence, enabling digital
systems to sense the world through images, mirroring the human ability to see and interpret …

Collaborative robotic systems are one of the key technologies for a broad range of future
industries. Different industries such as industrial manufacturing desire affordable …