The fourth industrial revolution is based on the fusion of different technologies and, in particular, between machines and information, and encourages companies to integrate new tools in their production processes to improve working conditions and increase productivity and production quality of companies. The future of production, therefore, depends on increasingly intelligent machinery through the use of digital systems. Intelligent machines and systems are the key elements for future integrated infrastructures based on human-machine interaction and information sharing. This sharing requires the implementation of shared languages that allow different systems to dialogue in a simple way. With this in mind, the ability of machines or systems to learn new operations through the use of algorithms based on neural networks allows us to have increasingly flexible machines capable of replicating the learning processes of human beings. Such self-learning techniques will allow developing a new class of machines capable of revolutionizing our companies.
Object Recognition Using Neural Networks for Robotics Precision Application
Celenta G.
Membro del Collaboration Group
;Guida D.Writing – Original Draft Preparation
2020-01-01
Abstract
The fourth industrial revolution is based on the fusion of different technologies and, in particular, between machines and information, and encourages companies to integrate new tools in their production processes to improve working conditions and increase productivity and production quality of companies. The future of production, therefore, depends on increasingly intelligent machinery through the use of digital systems. Intelligent machines and systems are the key elements for future integrated infrastructures based on human-machine interaction and information sharing. This sharing requires the implementation of shared languages that allow different systems to dialogue in a simple way. With this in mind, the ability of machines or systems to learn new operations through the use of algorithms based on neural networks allows us to have increasingly flexible machines capable of replicating the learning processes of human beings. Such self-learning techniques will allow developing a new class of machines capable of revolutionizing our companies.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.