In this paper we present the development of a quality tile detection device for the Internet of Things (IoT) demonstration in a prototype for educational purposes. For this an Arduino UNO microcontroller is used, and the prototype is chosen after an initial design process, together with suitable tile parts, that imitate possible real tiles in a production line in the downscaled prototype. The Artificial Intelligence (AI) task of pattern detection is performed by a Matlab script. Finally, the Arduino, that controls the conveyor belt and the switch of the tile quality detection device is linked to the Matlab Script, that controls the picture detection and AI-script evaluation on the PC and its backcoupling to the Arduino, yielding a semi-automatic tile quality checking procedure with a human in the loop.

In this paper, the previously designed and implemented spiderino robot-o, or a robot used to act in a swarm for educational purposes, is investigated regarding his energy-consuming properties. An experimental setup consists of a platform inside which the spiderino robot-o can freely move with a fixed random movement program. Furthermore, the robot-o feet were equipped with footwear made of materials with different friction coefficients, non-equipped or plastics, equipped with cork, equipped with rubber, and the underground was chosen to be stone, wood, plastics, and with regard to floor inclination for all variants flat and for the stone variant also inclined by 10%. The results show a characteristic curve in energy consumption according to a slightly different behaviour concerning the material combinations of footwear and floor, which adapts energy consumption physically due to the specific footwear-underground combination.