The aims of this paper are the development and testing of the pneumatic and output system of the FANUC Spider selecting robot that can be found at the Mechatronics Department, Engineering Faculty of the University of Debrecen. As a result the robot was shown to be capable of several working procedures with the use of the pneumatic vacuum gripper and the use of digital outputs.
This summary details the steps that were necessary to fasten a Nokia Puma 560’s gripper to a KUKA KR5 industrial robot found at University of Debrecen, Department of Mechatronics and also demonstrates its applications in the robot cell designed around its usage. It also includes the inspection and reconstruction of said gripper, and the 3D designing of its adapter. The adapter is intended for the KUKA KR5 robot, which is later manufactured using PRO-PLA 3D printing. The KUKA KR5 will also have a robot cell designed and built around it, for educational purposes.
Nowadays the ongoing trend of integrating everything into the cloud, connecting all sorts of gadgetry to the Internet (IoT) is omnipresent at this point, even in the industry, where small and medium sized companies alike can join this tendency. This is undoubtedly the result of the arrival of Industry 4.0, which caused an exponential growth in this field. This poses a new challenge for the IT field, since it needs in-depth knowledge of networking and routing, and formidable knowledge of the different devices and programming languages alike. Our project premises an RFID-based fully-fledged access control system, with a targeted market of small to large companies, and also individuals, as the result of ease of use, low price, and simplicity.
Nowdays, accidents tend to happen because our attention is being split up by the ever-growing influx of information, losing the focus from the driving, traffic signs, and other signals. The consequences of these minor or major accidents weight down on our shoulders. During our project, we tried to eliminate, or help this issue, using present technology, improving upon that, trying to avoid these accidents. Our task consisted on implementing a software, that could identify traffic signs from any video streams.