2017
Authors
Crosby, M; Petrick, RPA; Toscano, C; Dias, RC; Rovida, F; Krüger, V;
Publication
CEUR Workshop Proceedings
Abstract
This paper presents an integrated cognitive robotics system for industrial kitting operations in a modern factory setting. The robot system combines low-level robot control and execution monitoring with automated mission and task planning, and a logistics planner which communicates with the factory's manufacturing execution system. The system has been implemented and tested on a series of automotive kitting problems, where collections of parts are picked from a warehouse and delivered to the production line. The system has been empirically evaluated and the complete framework shown to be successful at assembling kits in a small factory environment.
2021
Authors
Dias, RC; Senna, PP; Gonçalves, AF; Reis, J; Michalaros, N; Alexopoulos, K; Gomes, M;
Publication
IFAC-PapersOnLine
Abstract
2018
Authors
Dias, R; Toscano, C;
Publication
Atas da Conferencia da Associacao Portuguesa de Sistemas de Informacao
Abstract
The Portuguese footwear industry registered a strong performance over the last few years and the openness to adopt new technologies was a key factor. Among these, the implementation of innovative logistic systems for the transport and assignment of work-in-process in manufacturing processes was a key technology. By means of case research it was analyzed an internal logistic system, deployed in a Portuguese large footwear producer, which reveals some weaknesses at the physical and cyber levels. A lack of managing applications was detected at the factory and enterprise levels, which contribute to lower levels of visibility of production and productivity. This article presents the development of a Cyber-Physical Production System, in the context of the Horizon 2020 research and innovation program BEinCPPS, that comprises four application experiments. These experiments were successful and the results demonstrated a relevant increase of production efficiency and decrease of maintenance costs.
2022
Authors
Teixeira, S; Arrais, R; Dias, R; Veiga, G;
Publication
Procedia Computer Science
Abstract
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