Surface polishing can be counted among the most challenging manufacturing operations, especially when high qualitative levels in terms of surface texture characteristics are requested, such as in the case of polishing operations for plastic injection moulds. Robot-based solutions for surface polishing and quality assessment operations have been proposed at the state of the art, but it still is required the involvement of skilled workers for process supervision and final tuning operations. The introduction of human-machine collaborative solutions opens new opportunities, as the use of symbiotic polishing approaches, where both the humans and the machines capabilities can be shared to improve process effectiveness. The current work proposes a human-robot collaborative approach for surface polishing processes that integrates state of the art robot-based polishing and surface quality assessment technologies in a human-safe shared working environment. As a proof of approach feasibility, the paper presents the prototype of a reconfigurable platform designed to implement a flexible human-robot collaborative scenario for execution of polishing and quality assessment operations. Preliminary demonstrative polishing sessions on simple and complex components validate the system effectiveness with respect to manufacturing efficiency and reconfigurability capabilities. The results obtained provide a first positive response that symbiotic approach can objectively improve the polishing processes.

Human-robot collaborative reconfigurable platform for surface finishing processes / Pini, F.; Leali, F.. - In: PROCEDIA MANUFACTURING. - ISSN 2351-9789. - 38:(2019), pp. 76-83. ( 29th International Conference on Flexible Automation and Intelligent Manufacturing, FAIM 2019 irl 2019) [10.1016/j.promfg.2020.01.011].

Human-robot collaborative reconfigurable platform for surface finishing processes

Pini F.
;
Leali F.
2019

Abstract

Surface polishing can be counted among the most challenging manufacturing operations, especially when high qualitative levels in terms of surface texture characteristics are requested, such as in the case of polishing operations for plastic injection moulds. Robot-based solutions for surface polishing and quality assessment operations have been proposed at the state of the art, but it still is required the involvement of skilled workers for process supervision and final tuning operations. The introduction of human-machine collaborative solutions opens new opportunities, as the use of symbiotic polishing approaches, where both the humans and the machines capabilities can be shared to improve process effectiveness. The current work proposes a human-robot collaborative approach for surface polishing processes that integrates state of the art robot-based polishing and surface quality assessment technologies in a human-safe shared working environment. As a proof of approach feasibility, the paper presents the prototype of a reconfigurable platform designed to implement a flexible human-robot collaborative scenario for execution of polishing and quality assessment operations. Preliminary demonstrative polishing sessions on simple and complex components validate the system effectiveness with respect to manufacturing efficiency and reconfigurability capabilities. The results obtained provide a first positive response that symbiotic approach can objectively improve the polishing processes.
2019
no
Inglese
29th International Conference on Flexible Automation and Intelligent Manufacturing, FAIM 2019
irl
2019
Procedia Manufacturing
38
76
83
Elsevier B.V.
SARA BURGERHARTSTRAAT 25, PO BOX 211, 1000 AE AMSTERDAM, NETHERLANDS
Collaborative Robotics; Computer Integrated Manufacturing; Polishing Processes; Reconfigurable Systems; Robotics
Pini, F.; Leali, F.
Atti di CONVEGNO::Relazione in Atti di Convegno
273
2
Human-robot collaborative reconfigurable platform for surface finishing processes / Pini, F.; Leali, F.. - In: PROCEDIA MANUFACTURING. - ISSN 2351-9789. - 38:(2019), pp. 76-83. ( 29th International Conference on Flexible Automation and Intelligent Manufacturing, FAIM 2019 irl 2019) [10.1016/j.promfg.2020.01.011].
open
info:eu-repo/semantics/conferenceObject
File in questo prodotto:
File Dimensione Formato  
1-s2.0-S2351978920300111-main.pdf

Open access

Tipologia: VOR - Versione pubblicata dall'editore
Licenza: [IR] creative-commons
Dimensione 1.45 MB
Formato Adobe PDF
1.45 MB Adobe PDF Visualizza/Apri
Pubblicazioni consigliate

Licenza Creative Commons
I metadati presenti in IRIS UNIMORE sono rilasciati con licenza Creative Commons CC0 1.0 Universal, mentre i file delle pubblicazioni sono rilasciati con licenza Attribuzione 4.0 Internazionale (CC BY 4.0), salvo diversa indicazione.
In caso di violazione di copyright, contattare Supporto Iris

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11380/1200591
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 8
  • ???jsp.display-item.citation.isi??? 7
social impact