The collaboration among humans and machines is one of the most relevant topics in the Industry 4.0 paradigm. Collaborative robotics owes part of the enormous impact it has had in small and medium size enterprises to its innate vocation for close cooperation between human operators and robots. The i-Labs laboratory, which is introduced in this paper, developed some case studies in this sense involving different technologies at different abstraction levels to analyse the feasibility of human-robot interaction in common, yet challenging, application scenarios. The ergonomics of the processes, safety of operators, as well as effectiveness of the cooperation are some of the aspects under investigation with the main objective of drawing to these issues the attention from industries who could benefit from them.

Tools and Methods for Human Robot Collaboration: Case Studies at i-LABS / Callegari, M; Carbonari, L; Costa, D; Palmieri, G; Palpacelli, Mc; Papetti, A; Scoccia, C. - In: MACHINES. - ISSN 2075-1702. - 10:11(2022), p. 997. [10.3390/machines10110997]

Tools and Methods for Human Robot Collaboration: Case Studies at i-LABS

Callegari, M;Carbonari, L;Costa, D;Palmieri, G;Palpacelli, MC;Papetti, A;Scoccia, C
2022-01-01

Abstract

The collaboration among humans and machines is one of the most relevant topics in the Industry 4.0 paradigm. Collaborative robotics owes part of the enormous impact it has had in small and medium size enterprises to its innate vocation for close cooperation between human operators and robots. The i-Labs laboratory, which is introduced in this paper, developed some case studies in this sense involving different technologies at different abstraction levels to analyse the feasibility of human-robot interaction in common, yet challenging, application scenarios. The ergonomics of the processes, safety of operators, as well as effectiveness of the cooperation are some of the aspects under investigation with the main objective of drawing to these issues the attention from industries who could benefit from them.
2022
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11566/308473
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