Ontology-Based Framework to Design a Collaborative Human-Robotic Workcell - Inria - Institut national de recherche en sciences et technologies du numérique
Communication Dans Un Congrès Année : 2017

Ontology-Based Framework to Design a Collaborative Human-Robotic Workcell

Giulia Bruno
  • Fonction : Auteur
  • PersonId : 992750

Résumé

Exploiting the collaboration between human and robots is a fundamental target for industrial Cyber-Physical Systems. Several studies have already addressed the evaluation of collaborative robotic cells, especially in automotive industry. Feasible tasks assignment to workers and robots were proposed in a few use-cases. However, previous studies start from an existing configuration of the collaborative assembly cell. Due to the moderate diffusion of collaborative robotic applications in the industry, it would be better to define a method orienting the design of a new instances of collaborative cells, by taking into account the different classifications of collaboration deriving by the new ISO 15066 standard. The classification depends on the kind of information that must be made available within the cell, and the possible methods of acquisition and communication of such information. This knowledge base will be represented in the form of ontology, as an extension of the CORA (Core Ontologies for Robotics and Automation) ontology, by IEEE Robotics and Automation Society. By adopting this ontology, it will be possible to support the design of new collaborative cell. An industrial case-study will prove the efficacy of the proposed method.
Fichier principal
Vignette du fichier
455531_1_En_16_Chapter.pdf (529.08 Ko) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01674858 , version 1 (03-01-2018)

Licence

Identifiants

Citer

Dario Antonelli, Giulia Bruno. Ontology-Based Framework to Design a Collaborative Human-Robotic Workcell. 18th Working Conference on Virtual Enterprises (PROVE), Sep 2017, Vicenza, Italy. pp.167-174, ⟨10.1007/978-3-319-65151-4_16⟩. ⟨hal-01674858⟩
71 Consultations
266 Téléchargements

Altmetric

Partager

More