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The continuous evolution in manufacturing processes has attracted substantial interest from both scientic and research community, as well as from industry. Despite the fact that streamline manufacturing relies on automation systems, most production lines within the industrial environment lack a exible framework that allows for evaluation and optimisation of the manufacturing process. Consequently, the development of a generic simulators able to mimic any given workow represent a promising approach within the manufacturing industry. Recently the concept of digital twin methodology has been introduced to mimic the real world through a virtual substitute, such as, a simulator. In this paper, a solution capable of representing any industrial work cell and its properties is presented. Here we describe the key stages of such solution which has enough exibility to be applied to dierent working scenarios commonly found in industrial environment.

If you would like to write for this, or any other Emerald publication, then please use our Emerald for Authors service information about how to choose which publication to write for and submission guidelines are available for all. Please visit www.emeraldinsight.com/authors for more information. About Emerald www.emeraldinsight.comEmerald is a global publisher linking research and practice to the benefit of society. The company manages a portfolio of more than 290 journals and over 2,350 books and book series volumes, as well as providing an extensive range of online products and additional customer resources and services.Emerald is both COUNTER 4 and TRANSFER compliant. The organization is a partner of the Committee on Publication Ethics (COPE) and also works with Portico and the LOCKSS initiative for digital archive preservation.*Related content and download information correct at time of download. Abstract. Purpose -Streamlining automated processes are currently undertaken by developing optimization methods and algorithms for robotic manipulators. In this paper a new approach to improve streamlining of automatic processes is presented. This new approach allows for multiple robotic manipulators commonly found in the industrial environment to handle different scenarios, thus providing a high flexibility solution to automated processes. Design/ Methodology / Approach -The developed system is based on a spatial discretization methodology capable of describing the surrounding environment of the robot, followed by a novel path planning algorithm. Gazebo was the simulation engine chosen and the robotic manipulator used was the universal robot 5 (UR5). The proposed system was tested using the premises of two robotic challenges: EuRoC and Amazon Picking Challenge. Findings The developed system was able to identify and describe the influence of each joint in the Cartesian space; and it was possible to control multiple robotic manipulators safely regardless of any obstacles in a given scene. Practical implications -This new system was tested in both real and simulated environments and data collected showed that this new system performed well in real life scenarios, such as EuRoC and Amazon Picking Challenge. Originality / Value The new proposed approach can be valuable in the robotics field with applications in various industrial scenarios, as it provides a flexible solution for multiple robotic manipulators path and motion planning.

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