Universal Robots ROS Driver
The FZI develops ROS driver for Universal Robots
Start: 01/2019
End: 12/2021
Due to the ongoing e-commerce boom, the logistics industry is growing dynamically. That’s why logistics centers increasingly have to adopt new approaches – for example, through automation. However, the high complexity of programming, the strong interconnectedness of processes and high costs of setup represent a significant barrier to entry. One approach to solving this problem is to enable non-experts to plan, program and validate new robot applications virtually, quickly and without risk, and then transfer them directly to the real application.
In a virtual reality simulation, applications can first be planned and the general feasibility evaluated. The developed solution can be directly transferred to a real robot and can also be intuitively adapted later with augmented reality. Updates to the virtual environment make it possible to evaluate the results of these changes and the resulting cycle time even before the hardware is purchased, and to simulate entire processes from combined virtual and real systems. Adjustments to the process can be made and tested via simple interfaces.
By combining immersive simulation with digital twins, the Sim2Log VR solution for the first time enables convenient, novel operating concepts and thus significantly shorter iterations in the employee planning and programming of robot applications.
In the project, the FZI is primarily contributing its extensive ROS expertise, such as the Motion Pipeline for fast and intuitive programming, and is thus developing simulation and control interfaces to enable a smooth transition from virtual reality to practical application.
In this research focus, the FZI concentrates on practical research into the key technology of Artificial Intelligence (AI). Innovative AI solutions are developed and transferred to application areas such as mobility, robotics, healthcare technology, logistics, production, and supply and disposal on behalf of our partners and customers.
Smart solutions for the transportation of people and goods are a focus of FZI research to shape mobility in the future. To this end, the FZI develops integrated mobility systems – from vehicle automation and the application of AI in traffic systems to urban mobility and logistics.
Funding notice:
The Sim2Log VR project is funded by the Federal Ministry of Education and Research (BMBF).
Project partners:
The FZI develops ROS driver for Universal Robots
German-Israeli Research Initiative on Digital Democracy
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