Professor of School of Engineering, Design and Built Environment, Western Sydney University, Australia. His research interests cover Industry 4.0, Additive Manufacturing, Advanced Engineering Materials and Structures (Metals and Composites), Multi-scale Modelling of Materials and Structures, Metal Forming and Metal Surface Treatment.
Abstract—This research is combining two important concepts of the intelligent manufacturing. The first concept is the agile manufacturing and the second is the collaborative robotics. On the one hand, agility in manufacturing is the capability of the industrial enterprise to respond rapidly and effectively to the unanticipated changes occur in the production. The aim of the agile manufacturing is to proactively develop solutions to adapt with the customer needs. These solutions are a result of a collective decision making that has been formed among the different entities of the agile manufacturing system. On the other hand, collaborative robotics is a new trend in industrial robotics which involves a collaborative robot (cobot). A cobot is usually an industrial robot designed to operate safely in a shared work environment with the human worker. This in contrast with the conventional industrial robot which operates in isolation from the worker workspace. One of the biggest advantages of the collaborative robotics is to increase the agility of the manufacturing. Therefore, in this research we focus on developing the proper information control and communication solution to facilitate the worker-cobot agile manufacturing. Furthermore, we introduce a case-study of two workers in cooperation with one cobot to demonstrate the solution concept.
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