Descrizione del progetto
Ripensare l’interconnessione e la collaborazione tra sistemi cooperativi autonomi
I sistemi cooperativi autonomi si stanno consolidando come pilastri di svariate applicazioni, dall’automazione di fabbrica ai sistemi di trasporto intelligente. Per interagire e cooperare tra loro e con gli esseri umani, si affidano perlopiù a reti wireless condivise, il che li rende vulnerabili a strozzature dei dati e soggetti ad altri limiti. Mediante l’adozione di un approccio non convenzionale, il progetto MINERVA, finanziato dal CER, rivaluterà le modalità fondamentali attraverso cui i sistemi cooperativi autonomi interagiscono e lavorano congiuntamente allo scopo di determinare i principi di base del controllo, della stima e della comunicazione in tempo reale. Il lavoro costituirà le fondamenta di un nuovo quadro, progettato per sfruttare benefici maggiori da questi sistemi in un mondo sempre più dipendente dall’automazione.
Obiettivo
Nowadays, attention is drawn towards a new generation of intelligent mobile cooperative autonomous systems (CASs), built with increasingly powerful sensors that allow them to cooperate with other autonomous systems and humans, in order to accelerate the industrial ecosystem and better exploit the potential of flexible automation. The cooperation of autonomous systems, which is an emerging technology in many areas (e.g. intelligent transportation systems and factory automation) is done over a wireless network. The use of a wireless network to connect spatially distributed systems enables flexible architectures with reduced installation and maintenance costs to existing applications, while supporting the development of new applications that would otherwise be impossible. The unprecedented tight coupling between control and communication, due to the use of a shared wireless network and distributed decision making to orchestrate such systems, introduces new challenges. Current modular design approaches and incremental improvements can only provide limited performance gains and may result in inefficient solutions, which may lead to failures during practical deployments. To effectively leverage the vast space of possibilities enabled by CASs, I argue that we need to fundamentally rethink how functionally-complex CASs are interconnected and operate cooperatively. Bridging the gap between the fields of control, estimation, and information/communication theories, MINERVA will follow a bottom-up approach to develop a fundamental, yet realistic, framework to establish the foundations for real-time control, estimation, and localization in environments where autonomous systems and humans interact. MINERVA goes beyond the state-of-the-art and targets the fundamental bottlenecks of demanding systems, using methodologies fundamentally different from the existing ones, aiming towards real-time control applications with communication constraints.
Campo scientifico
- social sciencessociologyindustrial relationsautomation
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensors
- natural sciencesbiological sciencesecologyecosystems
- engineering and technologyelectrical engineering, electronic engineering, information engineeringinformation engineeringtelecommunicationsradio technology
Programma(i)
- HORIZON.1.1 - European Research Council (ERC) Main Programme
Argomento(i)
Meccanismo di finanziamento
HORIZON-AG - HORIZON Action Grant Budget-BasedIstituzione ospitante
1678 Nicosia
Cipro