Universal Robots ROS Driver
The FZI develops ROS driver for Universal Robots
KI4BoardNet
Next-generation distributed, continuously learning onboard power management system
Start: 12/2022
End: 11/2025
A vehicle’s power and data network must meet the highest standards of reliability and fault tolerance, energy efficiency and flexibility. With a host of new, intelligent functions and large data streams, future vehicle networks will be more than just a wiring harness. Together with sensors and distributed computing nodes, it will form the nerve and energy system of the vehicle.
KI4BoardNet explores new concepts for resource-optimized, continuously learning, distributed power management systems. This includes methods for developing application-specific system-on-a-chip (SoC) architectures for hardware-assisted, accelerated execution of machine learning algorithms. For this purpose, a generator-based design process for RISC-V systems will be adapted to allow for flexible SoC architecture configuration and optimization.
Regarding the generated SoC platform, different adopted model architectures for AI-supported energy consumption prediction and their integration into a distributed onboard network load management will be researched. The project will also examine novel algorithms based on auction theory for resource efficiency and economical use of available energy within the board network. An important aspect of the planned system is its ability to learn continuously and thus continuously adapt to various usage scenarios.
In addition to voltage stabilization in future board networks; the research results will enable the implementation of new AI applications.
Contact
Sebastian Reiter
Department Manager
Division: Intelligent Systems and Production Engineering
- +49 721 9654-430
- reiter@fzi.de
- Headquarters Karlsruhe
Research focus
Applied Artificial Intelligence
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.
Intelligent Transportation Systems and Logistics
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 KI4BoardNet project is funded by the Federal Ministry of Education and Research (BMBF).
Project partners:
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