%0 Conference Proceedings
%T When Softbots Meet Digital Twins: Towards Supporting the Cognitive Operator 4.0
%+ Universidade Federal de Santa Catarina = Federal University of Santa Catarina [Florianópolis] (UFSC)
%+ Tecnológico de Monterrey = Monterrey Institute of Technology (ITESM)
%+ University of Southern Santa Catarina [Florianopolis] (UNISUL)
%A Rabelo, Ricardo, J.
%A Romero, David
%A Zambiasi, Saulo, P.
%A Magalhães, Luciano, C.
%Z Part 1: Data-Driven Platforms and Applications in Production and Logistics: Digital Twins and AI for Sustainability
%< avec comité de lecture
%@ 978-3-030-85913-8
%( IFIP Advances in Information and Communication Technology
%B IFIP International Conference on Advances in Production Management Systems (APMS)
%C Nantes, France
%Y Alexandre Dolgui
%Y Alain Bernard
%Y David Lemoine
%Y Gregor von Cieminski
%Y David Romero
%I Springer International Publishing
%3 Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems
%V AICT-634
%N Part V
%P 37-47
%8 2021-09-05
%D 2021
%R 10.1007/978-3-030-85914-5_5
%K Industry 4.0
%K Softbots
%K Digital Twin
%K Cognitive Operator 4.0
%Z Computer Science [cs]Conference papers
%X Digital Twins (DT) represent one of the most powerful technologies related to Industry 4.0 implementation. Combined with the advances in Computer Science and Production Management, DTs have become an emerging trend in many applications. Despite the DT potentials, Industry 4.0 is pushing companies to adopt digital solutions that provide higher human satisfaction to increase operational excellence. One approach to handle this involves how workers should interact with systems and smart machines. Softbots is a prominent direction to underpin this goal. This paper presents ongoing results of a research that exploits how softbots can be combined with DTs to create a more “symbiotic” human-machine/computer interaction within a smarter decision-making environment.
%G English
%Z TC 5
%Z WG 5,7
%2 https://inria.hal.science/hal-03897845/document
%2 https://inria.hal.science/hal-03897845/file/520762_1_En_5_Chapter.pdf
%L hal-03897845
%U https://inria.hal.science/hal-03897845
%~ IFIP
%~ IFIP-AICT
%~ IFIP-TC
%~ IFIP-TC5
%~ IFIP-WG
%~ IFIP-APMS
%~ IFIP-WG5-7
%~ IFIP-AICT-634