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Today, the industry is opting for more and more automation with the goal of turning autonomous, especially with regards to its manufacturing units. To achieve this goal, it strives for innovations in sensor technology, as the success of automation is dependent on the accuracy of the data provided by the sensors. One of the major influencing factors for this accuracy, is the ‘cleanliness’ of the sensor’s surface which is exposed to the outer surroundings. In the industrial environment, where contamination of air due to dust, oil or any such particulates is quite common, the chances of sensor failure due to its surface being exposed to this kind of contamination are quite high. This thesis was aimed at a specific use case scenario, where autonomous mobile robots working in an industrial environment, face challenges in its operations on almost everyday basis. The tasks were therefore to perform the analysis, find the source of the issue, explore different options that lead to a concept for cleaning the sensors in that particular use case and produce a proper working proof of concept of the cleaning mechanism.