Virtual commissioning (VC) is a method used to virtually visualize and test production systems, control logic and material flows. The focus of this paper is to further extend this concept using Virtual Reality (VR). The introduction of VR in VC enhances the concept by adding a more realistic visualization and movement tracking which extends the possibilities of its validation. The changes to the validation aspect are mainly due to the fact that it is now possible to interact with the running virtual production in a realistic and intuitive way. The interaction gives designers and operators a new possibility to go from being observers to actors in the design phase. They are now able to validate the production system, test security protocols and validate the human interaction with the system, using VR.
One way of potentially improving the use of robots in a collaborative environment is through prediction of human intention that would give the robots insight into how the operators are about to behave. An important part of human behaviour is arm movement and this paper presents a method to predict arm movement based on the operator's eye gaze. A test scenario has been designed in order to gather coordinate based hand movement data in a virtual reality environment. The results shows that the eye gaze data can successfully be used to train an artificial neural network that is able to predict the direction of movement ~500ms ahead of time.
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