MétaCan
Menu
Retour à la cohorte
Enregistrement W6998737094

Balancing intended collaboration and safety requirements during the design and implementation of an industrial cobot application: A case study

2024· article· en· W6998737094 sur OpenAlexfundno aff

Notice bibliographique

Revuenon disponible
Typearticle
Langueen
DomaineEngineering
ThématiqueSafety Systems Engineering in Autonomy
Établissements canadiensnon disponible
Organismes subventionnairesInstitut de Recherche Robert-Sauvé en Santé et en Sécurité du Travail
Mots-clésProcess (computing)Key (lock)Control (management)Component (thermodynamics)Work (physics)
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

The aim of this article is to illustrate, through a real-life case study, the importance of balancing the intended human-robot interactions and occupational health and safety (OHS) requirements when designing and implementing a collaborative application involving industrial robots (in the sense of ISO 10218).This article discusses the obstacles and efforts involved in achieving greater but safe collaboration by chronologically detailing the risk reduction approach.A consortium of manufacturers commissioned the National Research Council Canada (NRC) to implement a TRL-5 cyberphysical finishing cobotic platform for companies of the metal industry.By finishing, we mean polishing, grinding and deburring tasks on metal parts.While the cobot performs the finishing tasks, the human operator supervises the process, oversees the quality control of the parts and indicates which production lot should start.The main reasons behind the consortium's request were: 1) the need to alleviate the musculoskeletal disorders among the finishing operators, 2) the labor shortage and 3) a drive to innovation.The robotic platform consists mainly of a support table with a dust extraction system, a 6-axis cobot arm attached to a rail to add a 7th axis, accessories and tools for part finishing (e.g.compliance head, abrasive discs).The industrial robot used was a UR10 cobot.One of the initial objectives was for the finishing platform to be collaborative to ensure flexibility and fluidity of operations.Typically, a needs analysis and a risk assessment help determine the feasibility and the usefulness of a collaborative application.However, in the case of the NRC's laboratory application, a different approach was taken.The pursuit of innovative solutions to increase flexibility in finishing activities required to push the limits of technology and to explore what is achievable and what is not.In fact, such an approach is frequently employed in the industrial context.Thus, an iterative risk assessment was carried out once the platform structure has been assembled.First, fifty-five risks have been identified, including mechanical risks coming from the cobot arm movements and the disc rotation.Regarding those mechanical risks, the protective measures the OHS team suggested allowing the operator to be close to the functioning cobot were 1) a reduced speed of the moving cobot arm to 16 mm/s (PL = d, category = 3), 2) a protective stop, of the moving arm, triggered by a PLe, cat. 3 Airskin "sensitive skin" in the event of contact, 3) PLe, cat. 4 emergency stop buttons and 4) a protective stop, of the rotating disk, triggered by two PLd, cat. 3 laser scanners in the event of intrusion into the safeguarded space.Personal protective equipment (PPE) has also been suggested.The residual risk was then considered acceptable only if the disc was at a standstill.However, the protective measures concerning the rotation of the disc conflicted with the collaborative application intended by the consortium and the expressed need to approach the rotating disc during finishing to perform a visual quality control of the part (operator positioned approximately 200 mm from the tool).As a result, the solution proposed by the OHS team at this new stage was to allow access to the zone using a dead man's switch (DMS) to bypass the scanners' protective stop, combined with wearing close-fitting clothing, tying back hair, and wearing PPE to protect against the risk of projections and gloves to protect against the risk of cutting with the disc.Wearing gloves was intended to reduce residual risks since contact with the disc remains possible (e.g.free hand, inertia of the disc to stop).To verify the actual hand protection provided by gloves, five models offering high mechanical resistance were tested with two abrasive discs in different configurations.The tests consisted of rotating the disc at 9,000 rpm (operating speed), bringing it close to the glove at a speed of 16 mm/s with the cobot arm, then touching the glove for a fraction of a second to simulate unexpected contact (withdrawal of the arm when the force sensor measures 70 N in contact with the support inserted into the glove).The results were unequivocal: all gloves were cut or torn.Thus, wearing gloves will not protect the operator in the event of contact with the rotating disc on the finishing platform.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,006
score de la tête « metaresearch » (Gemma)0,016
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Étude de cas · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,006
Score d'incertitude au seuil0,034

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0060,016
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,000
Études des sciences et des technologies0,0030,002
Communication savante0,0020,002
Science ouverte0,0020,003
Intégrité de la recherche0,0040,002
Charge utile insuffisante (le modèle a refusé de juger)0,0020,001

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,021
Tête enseignante GPT0,285
Écart entre enseignants0,264 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeÉtude de cas
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2024
Routes d'admission1
Résumé présentnon

Explorer davantage

Même sujetSafety Systems Engineering in AutonomyTravaux en français237 207