ROUTINE
Living lab for the transfer of digital health applications and AI into healthcare
Start: 06/2018
End: 09/2022
The ROBDEKON competence center and the work of the FZI Research Center for Information Technology focus on developing robotic systems, technologies and Artificial Intelligence (AI) methods that can be used primarily in explosive or hostile environments – such as in contaminated areas or mine shafts at risk of collapse.
The aim is to protect people from danger in contaminated areas through intelligent robotic systems like the Husky robotic platform. In addition, the environment is relieved and hazards minimized by removing contamination. During the first phase of the project, a 3D mapping framework was developed to create high-resolution maps of the environment, which can be used for motion planning as well as for intuitive human-robot interactions at the control station.
The FZI focused on implementing memory- and computationally-efficient approaches that can also be used by flying drones in mine shafts. Furthermore, AI methods were modeled to enable the recognition of hazardous materials with little training data. An intelligent sorting system, for example, was developed to help separate different explosive batteries on a conveyor belt using stationary sensor and robot units. The ROBDEKON competence center thus contributes to civil security for a better quality of life in Germany.
In this research focus, the FZI prioritizes the topics of Artificial Intelligence (AI) as well as human and AI engineering. In addition, the FZI deals with questions on dedicated AI hardware and predictive AI.
The FZI focuses in this research area on the topics of resilience for critical infrastructures, managing security, legal tech and (post-)quantum cryptography, and also deals with the mutual influence of artificial intelligence on safety and security.
Funding notice:
Project partners:
4 further partner companies from the economy
Living lab for the transfer of digital health applications and AI into healthcare
Next-generation distributed, continuously learning onboard power management system
Safe use of automated shuttle vehicles in urban traffic through supporting infrastructure networking
Broker for dynamic production networks
Artificial Intelligence for Work and Learning in the Karlsruhe Region
Security at multiple system layers based on chains of trust and isolation
Software Engineering of Industrial, Hybrid Quantum Applications and Algorithms
Competence Cluster Anonymization for Interconnected Mobility Systems
Climate-friendly, neuromorphic and for a sustainable transport infrastructure of the future.
Actively addressing the challenges posed by climate change and using them as an opportunity for the German economy.