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Projekt

STAR

Safe and Trusted Human Centric ARtificial Intelligence in Future Manufacturing Lines

Safe and Trusted Human Centric ARtificial Intelligence in Future Manufacturing Lines

STAR is a joint effort of AI and digital manufacturing experts towards enabling the deployment of standard-based secure, safe and reliable human-centric AI systems in real-life manufacturing environments. Specifically, STAR will research, develop, validate and make available to the AI and Industry4.0 communities novel solutions that will enable AI systems to take timely and safe decisions in unstructured and unpredictable environments, while at the same time being able to confront sophisticated adversaries and to remain robust against security attacks. In this way, STAR’s solutions will lower existing barriers against deploying sophisticated AI systems in real-life production lines. The project’s results will be fully integrated into existing EU-wide Industry4.0 and AI initiatives (notably EFFRA and AI4EU), as a means of enabling researchers and the European industry to deploy and fully leverage their advanced AI solutions in manufacturing environments.

STAR will act as a catalyst for ethical AI deployments in production lines, given that the project’s results are fully aligned to the recently published ethical guidelines of the EU’s expert group on AI. Specifically, STAR will produce technical solutions that boost the robustness and trustworthiness of AI in real-life settings (including unstructured and unpredictable environments), while at the same exploring the legal implications of a safe and secure AI in prominent manufacturing scenarios with an ethical dimension such as human-robot collaboration.

YouTube Channel of the Project

Partner

  1. INTRASOFT Intl. N.V. /S.A. & Third-Party: Intrasoft International SA, Luxemburg [INTRA]
  2. Thales SIX GTS France SAS - Thales SIX AI Lab
  3. Philips Consumer Lifestyle B.V.
  4. SIEMENS S.R.L. [SIE]
  5. IBER-OLEFF - Componentes Tecnicos em Plastico, S.A
  6. GFT Italia S.r.l. [GFT]
  7. Institut "Jožef Stefan" [JSI] & Third-Party: QLECTOR [QLE]
  8. Scuola Universitaria Professionale della Svizzera Italiana [SUPSI]
  9. Cranfield university [CU]
  10. University of Piraeus Research Center [UPRC]
  11. UBITECH Limited [UBI]
  12. R2M Solution S.r.l [R2M]
  13. Unparallel Innovation, Lda [UNP]
  14. DWF Germany Rechtsanwaltsgesellschaft mbH [DWF]

Fördergeber

EU - Europäische Union

956573

EU - Europäische Union

Publikationen zum Projekt

Sungho Suh; Vitor Fortes Rey; Sizhen Bian; Yu-Chi Huang; Jo¸e M. Ro¸anec; Hooman Tavakoli Ghinani; Bo Zhou; Paul Lukowicz

In: IEEE Internet of Things Journal (IoT), Vol. 1, Page 1, IEEE, 11/2023.

Zur Publikation

Jo¸e M Ro¸anec; Inna Novalija; Patrik Zajec; Klemen Kenda; Hooman Tavakoli Ghinani; Sungho Suh; Entso Veliou; Dimitrios Papamartzivanos; Thanassis Giannetsos; Sofia Anna Menesidou; Ruben Alonso; Nino Cauli; Antonello Meloni; Diego Reforgiato Recupero; Dimosthenis Kyriazis; Georgios Sofianidis; Spyros Theodoropoulos; Bla¸ Fortuna; Dunja Mladenić; John Soldatos

In: International Journal of Production Research (IJPR), Vol. 61, No. 20, Pages 6847-6872, Taylor & Francis, 10/2023.

Zur Publikation

Hymalai Bello; Sungho Suh; Daniel Geißler; Lala Shakti Swarup Ray; Bo Zhou; Paul Lukowicz

In: Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing & the 2023 ACM International Symposium on Wearable Computing. International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp-2023), located at International Symposium on Wearable Computing, October 8-12, Cancun, Mexico, Mexico, UbiComp/ISWC '23 Adjunct, ISBN 9798400702006, Association for Computing Machinery, 10/2023.

Zur Publikation