Abstract: A method for emulating an automated guided vehicle (AGV) system includes: obtaining sensor data of a virtual AGV in an emulation environment; determining a device state of a virtual device interacting with the virtual AGV in the emulation environment; sending the sensor data and the device state to the AGV system, and receiving AGV motion control information and device operation information from the AGV system. The AGV motion control information and the device operation information are generated by the AGV system based on the sensor data and the device state. The motion of the virtual AGV and the virtual device is controlled in the emulation environment based on the AGV motion control information and the device operation information, respectively. Time and effort spent by a deployment engineer on deployment and debugging are reduced, factory downtime is decreased, and an entire AGV system and an AGV sensor can be validated.

Abstract: A system and method generating a 3D plant layout model departing from 2D schema of the layout provide access to a plant catalogue of identifiers of 3D plant objects. At least one 3D plant object identifier is associated with a 2D plant object identifier. Data on a given 2D schema of a layout are received as input data. A function trained by machine learning algorithm is applied to the input data for detecting a set of 2D plant objects. A set of identifier and location data on the detected 2D plant object set is provided as output data. A set of 3D plant objects is selected from the plant catalogue with identifiers associated with the set of 2D plant objects identifiers of the output data. A 3D model of the layout is generated by arranging the selected set of 3D plant objects according to location data of the output data.