Industry 5.0: Towards Human Centered Design in Human Machine Interaction

The Industry 5.0 paradigm presents new opportunities and challenges that companies must take advantage of to remain competitive in a highly competitive environment. The main idea is the intelligent collaboration between humans and machines, i.e., to combine human intelligence and creativity with efficient, intelligent and precise machines. The increasing digitization of manufacturing processes has required the use of artificial intelligence in manufacturing. As a result, jobs are being adapted and reconfigured. humans and machines have unique capabilities, which can be enhanced by a synergic relationship between them. In this study, a review of artificial intelligence architectures applied to the operator’s state recognition in manufacturing is proposed. The aim is to understand the human-robot interaction to achieve a complete collaboration between the robot and the human. In this way, efficiency is increased and the risks of possible accidents for the operator are reduced, prioritizing their safety. In this framework, a model based on artificial intelligence is proposed that collects data on the operator’s state and assesses potential dangerous situations while operating with the robot. The robot will be able to perform its task completely and quickly without worrying about human interaction, unless it detects that its actions involve a risk to the human worker. Possible sensors that will monitor the human state over time are evaluated and the model will collect the data and learn from the experience. The proposed conceptual model is based on three basic principles to Industry 5.0: safety, reliability, and human-centered design.