Robotic Process Automation and Artificial Intelligence in Industry 4.0 – A Literature review

• Main Authors: Ribeiro, Jorge, Lima, Rui, Eckhardt, Tiago, Paiva, Sara
• Format: Conference Proceeding
• Language: English
• Subjects: Artificial Intelligence; Industry 4.0; Robotic Process Automation
• ISSN: 1877-0509; 1877-0509
• DOI: 10.1016/j.procs.2021.01.104

Taking into account the technological evolution of the last decades and the proliferation of information systems in society, today we see the vast majority of services provided by companies and institutions as digital services. Industry 4.0 is the fourth industrial revolution where technologies and automation are asserting themselves as major changes. Robotic Process Automation (RPA) has numerous advantages in terms of automating organizational and business processes. Allied to these advantages, the complementary use of Artificial Intelligence (AI) algorithms and techniques allows to improve the accuracy and execution of RPA processes in the extraction of information, in the recognition, classification, forecasting and optimization of processes. In this context, this paper aims to present a study of the RPA tools associated with AI that can contribute to the improvement of the organizational processes associated with Industry 4.0. It appears that the RPA tools enhance their functionality with the objectives of AI being extended with the use of Artificial Neural Network algorithms, Text Mining techniques and Natural Language Processing techniques for the extraction of information and consequent process of optimization and of forecasting scenarios in improving the operational and business processes of organizations.