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Introducing Intelligence and Autonomy into Industrial Robots to Address Operations into Dangerous Area

  • Agostino G. BruzzoneEmail author
  • Marina Massei
  • Riccardo Di Matteo
  • Libor Kutej
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11472)

Abstract

The paper addresses the issue to use new generation robotic systems inside industrial facilities in order to complete operations in dangerous area. The new robotic systems are currently adopting the autonomous approach already in use in military sector; however, in this context the intensity of operations and the necessity to interact with high productivity systems introduce different challenges. Despite the problems, it is evident that this approach could provide very interesting improvements in terms of safety for humans especially in relations to dangerous area. For instance, in confined spaces, Oil & Gas or Hot Metal Industry these new autonomous systems could reduce the number of injures and casualties. In addition, these systems could increase the operation efficiency in this complex frameworks as well as the possibility to carry out inspections systematically; in this sense, this could result in improving the overall reliability, productivity and safety of the whole Industrial Plant. Therefore, it is important to consider that these systems could be used to address also security aspects such as access control, however they could result vulnerable to new threats such as the cyber ones and need to be properly designed in terms of single entities, algorithms, infrastructure and architecture. From this point of view, it is evident that Modeling and Simulation represent the main approach to design properly these new systems. In this paper, the authors present the use of autonomous systems introducing advanced capabilities supported by Artificial Intelligence to deal with complex operations in dangerous industrial frameworks. The proposed examples in oil and gas and hot metal industry confirm the potential of these systems and demonstrate as simulation supports their introduction in terms of engineering, testing, installation, ramp up and training.

Keywords

Artificial Intelligence Autonomous systems Safety Industrial plants Security Modeling and Simulation 

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Agostino G. Bruzzone
    • 1
    Email author
  • Marina Massei
    • 1
  • Riccardo Di Matteo
    • 2
  • Libor Kutej
    • 3
  1. 1.Simulation Team, DIMEUniversity of GenoaGenoaItaly
  2. 2.Simulation TeamSIM4FutureGenoaItaly
  3. 3.University of Defence in BrnoBrnoCzech Republic

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