Today's manufacturing systems are becoming increasingly complex, dynamic, and
connected. The factory operations face challenges of highly nonlinear and stochastic activity …

The recent advancements in the fields of artificial intelligence (AI) and machine learning
(ML) have affected several research fields, leading to improvements that could not have …

The demand for collaborative robots is growing in industrial environments due to their
versatility and low prices. Thus, more collaborative solutions are emerging for industrial …

In a dynamic and rapidly changing world, customers' often conflicting demands have
continued to evolve, outstrip** the ability of the traditional factory to address modern-day …

A method for hypergraph-based analysis and the design of manufacturing systems has been
developed. The reason for its development is the need to integrate the human workforce into …

The industrial revolution has gone through four revolutions, this fourth one is Industry 4.0 or
I4. 0, which aims to improve the performance of companies by moving towards digitalization …

The development of artificial intelligence (AI) technologies continues to advance. To fully
exploit the potential, it is important to deal with the topics of human factors and ergonomics …

Intelligent manufacturing, as the fundamental industrial sector of the national economy, is
one of the more important factors determining the level of national development, and its …

In this work, the results of Ultra-Wideband air-to-ground measurements carried out in a real-
world factory environment are presented and discussed. With intelligent industrial …

Automated assembly of electromechanical products with high volume, low variety and few
parts is carried out every day in production facilities. In case of increasing part amount …