| Theme | Artificial Intelligence |
|---|---|
| Project title | Artificial Intelligence in Manufacturing leading to Sustainability and Industry 5.0 (AIMS5.0) |
| Project duration | 01.06.2023 – 31.05.2026 |
| Project website | http://aims50.eu/ |
| Download | |
| Press release |
With Artificial Intelligence to Industry 5.0 - the AIMS5.0 research project is laying the foundations for the next industrial revolution in Europe and is intended to lead to greater sustainability and competitiveness.
With the help of hardware and software-based artificial intelligence (AI), the aim is to improve resource consumption in European manufacturing and at the same time increase product quality. The aim is also to increase resilience, optimize supply chains and improve time-to-market.
A project consortium with 53 research and industry partners from twelve countries is working towards this goal. The project is led and coordinated by Infineon Technologies AG.
In different working groups, the project partners are addressing 20 concrete use cases for AI and AI-based hardware across a wide range of industries. In the project, IPH is researching autonomous indoor drone flight in a factory environment for the purpose of creating a digital twin.
Publications about the project
The utilization of simulations for the development of path planning algorithms for autonomous indoor multicopters is of primary importance. It offers a secure and cost-effective setting for the testing and optimization of algorithms. This article considers and examines the currently used simulation options with regard to their suitability for the development of path planning algorithms for autonomous indoor multicopters. The use of autonomous multicopters represents an innovative solution to simplify the process of layout recording and inventories. This article focuses on the voxel-based simulation VSim, developed and named by the author. In light of the extant literature, the article elucidates the simulation environments that are most commonly utilized. Subsequently, a selection of simulations is compared with VSim. The time efficiency and resource usage of the simulation environments are examined based on more than 1,500 test runs. Furthermore, the observations of the test executions are described in detail, and finally, the simulations with all investigated parameters are compared. Additionally, the potential for parallelization is explored and discussed.
Layout, Path planning, Recording, Aircraft, Optimization, Testing
Constantly increasing production volumes and new challenges in production environmentswith the same amount of space are forcing manufacturing companies to deal with the planning of production layouts. The problem often is a non-existent or outdated production layout plan. Autonomous multicopters can help by simplifying layout capture. That's why a voxel-based simulation is investigated to develop and train path planning algorithms with and without artificial intelligence. First, the temporal behavior and the resource utilization of the simulation is investigated. Then, the time factor of simulation is compared to real time and what advantages companies and developers have when using it.
UAS, digital twin, simulation, voxel-based, layout design
IPH is developing an autonomously flying indoor drone in the AIMS 5.0 research project as one of 20 application examples for the industry of the future. The project is funded by the EU and involves 53 research and industry partners from twelve countries.
Drone, copter, data acquisition, digital twin, industry 5.0
