Factory planning can increase the productivity of manufacturing significantly, though the process is expensive when it comes to cost and time. In this paper, we propose an Unmanned Aerial Vehicle (UAV) framework that accelerates this process and decreases the costs. The framework consists of a UAV that is equipped with an IMU, a camera and a LiDAR sensor in order to navigate and explore unknown indoor environments. Thus, it is independent of GNSS and solely uses on-board sensors. The acquired data should enable a DRL agent to perform autonomous decision making, applying a reinforcement learning approach. We propose a simulation of this framework including several training and testing environments, that should be used for developing a DRL agent.
drone, UAS, deep reinforcement learning
Thanks to digital assistants, even low-skilled workers can perform complex tasks - the example of SCHUBS GmbH shows this. The company manufactures customized control cabinets and is an important employer for people with disabilities. Schubs would like to introduce a digital assistance system so that they can take on more responsible tasks in the future. The Mittelstand 4.0 Competence Center Hanover developed the demonstrator for this.
assistance systems, digitization
The digitization of processes and the networking of systems is a major challenge for many small businesses. In addition to traditional production companies, the transition to Industry 4.0 is increasingly affecting branches that have not been adequately considered as users for smart technologies and IoT. Modern horse stables manage complex feed schedules, track movement data, analyze temperatures and other parameters or monitor electric fences. So far, there is no instrument to control all of these demanding and complex processes efficiently and easily. Ludwig und Partner Reitanlagen and the Mittelstand 4.0 competence center in Hanover worked together to develop a concept for the low-threshold networking of such facilities. This is intended to make digitization opportunities more accessible and to ensure economic operation.
digitization, Internet of Things, IoT, networking, retrofit
Driverless transport systems are a building block for more efficient production systems in intralogistics, but have weaknesses in human-machine interaction. In a complex research project, a voice-based assignment is being developed, among other things, which is intended to make human-machine interaction more intuitive and increase its acceptance.
automated guided vehicle, augmented reality, smart glasses, voice control
