Industrial field autonomous systems: AI-assisted distributed applications at Edge - LAAS - Laboratoire d'Analyse et d'Architecture des Systèmes Access content directly
Conference Papers Year : 2020

Industrial field autonomous systems: AI-assisted distributed applications at Edge

Yannick Fourastier
  • Function : Author
Claude Baron
Hakima Chaouchi
  • Function : Author
  • PersonId : 868794
Carsten Thomas
  • Function : Author
Victor Lehonov
  • Function : Author
Jean-Paul Smets
  • Function : Author

Abstract

Complex industrial systems are increasingly software driven, rapidly evolving into autonomous, self-adaptive processing at industrial field. Artificial intelligence technologies are spreading fast at industrial Edge, improving the industrial operations efficiency. However Edge computing systems involving artificial intelligence must also continuously ensure the safe operations. This paper assesses the state of the art of cognitive technologies with their relevance for artificial intelligence implementation at industrial safety critical systems. It introduces then a state of the art for artificial intelligence safety assurance practices. Implementation at the industrial application stack is illustrated with the edge virtual operating system that operates the industrial fog. Edge operating system is evolving fast as kind of an AI intensive software. Industrial developments are illustrated with Slap OS, real case examples of swarm computing and advanced robotic.
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Dates and versions

hal-03001180 , version 1 (12-11-2020)

Identifiers

  • HAL Id : hal-03001180 , version 1

Cite

Yannick Fourastier, Claude Baron, Philippe Esteban, Hakima Chaouchi, Carsten Thomas, et al.. Industrial field autonomous systems: AI-assisted distributed applications at Edge. International Conference on Advances in Signal Processing and Artificial Intelligence, Nov 2020, berlin, Germany. ⟨hal-03001180⟩
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