Högskolan i Skövde

In today's industrial environments, automation systems and robots are becoming a more viable option for the evolution of intelligent manufacturing. According to this, Automated Guided Vehicles (AGV) can develop material transportation and other specific tasks in a synchronized and organized manner, avoiding the human waste of time. However, not every task can be done without studying the workspace beforehand and defining the optimal way to reach certain targets (the so-called fine-tuning) through simulations. By using cutting-edge scene technologies, the goal of this research is to develop a visual simulation of an AGV in a Mixed Reality Environment (MRE). In this virtual space, it will be possible to create and visualise different tasks by defining target points while finding optimal paths or reducing potential downtimes intuitively and interactively. As a result of the research, an interactive program where the user can generate AGV paths using only their hands is proposed, providing the option of exporting it in a computer-readable format. This program has been defined after previous Mixed Reality and AGV programming analyses, following an iterative approach widely used in artefact creation. After having validated the program, the conclusions obtained are that its adoption in industrial environments can benefit and facilitate task creation time while lowering manpower and requiring a lower level of scope expertise.