Abstract: A method for inspecting disposable absorbent articles, the method comprising: providing a controller comprising an inspection algorithm with a convolutional neural network; providing a sensor, preferably selected from the group consisting of an optical sensor, thermal sensor, and combinations thereof; the sensor being in data communication with the controller; providing a reference database, wherein the reference database comprises a plurality of pre-processed images of disposable absorbent articles and/or components thereof that have been labeled with one or more of: a feature or element of the article and/or component thereof; a non-acceptable defect within a feature or element of the article and/or component thereof; an acceptable defect within a feature or element of the article and/or component thereof; an acceptable faultless feature or element of the article and/or component thereof; and combinations thereof; and the method comprising the steps of: training the convolutional neural network preferably t

Abstract: A modular robot with a drive platform including: a first lateral drive module having at least two wheels and at least one motor for driving at least one of the wheels, a second lateral drive module having at least one wheel and at least one motor for driving the at least one wheel, a front crossmember module connecting first ends of the first and the second lateral drive module, and a rear crossmember module connecting first ends of the first and the second lateral drive module. One of the two lateral drive modules has a control unit for controlling the motors of the two lateral drive modules. The two drive modules have first connecting devices at their respective ends and the two crossmember modules have second connecting devices in the region of their respective ends. The first and the second connecting devices have mechanical connections.