Future networked robotics, human-in-the loop and transportation applications require careful mapping of requirements to 5G and upcoming 6G networked infrastructures while at the same time offering many opportunities for optimization at run-time. This is even more true as these applications will rely more and more on AI and edeg AI implementations. Understanding thewse requirements and optimization potentials are not only important with respect to theoretical models, but also with respect to prototypes, demos and system implemenations, for instance when it comes to interactions with different 5G system features, architectures and deployment scenarios, or when it comes to mixed application scenarios.
In the industrial edge applications project, we strive for constantly expanding the testbed capabilities, for instance with respect to 6G, O-RAN and AI-RAN. At the same time, we build constantly prototypical implementations to study practical consequences of different architecture set-ups, and run-time optimizations of the communication and compute elements of the networked infrastructure. The activities are closely coupled with the activities in the edge AI and trustworthiness assurance project, for instance with respect to system studies of edgeAI optimizations, or with respect to network assurances to be leverage by dependable applications, and how such joint systems can be certified.
Contact: James Gross, KTH