Descrizione del progetto
Progettazione continua per una nuova era di robotica intelligente e complessa
Le applicazioni vengono sviluppate sempre più spesso sulla base di sistemi autonomi complessi guidati dall’intelligenza artificiale. Poiché i robot intelligenti stanno iniziando a sostituire gli esseri umani nello svolgimento di compiti complicati o pericolosi sulla strada, nell’industria o in ospedale, la loro sicurezza, autonomia e affidabilità sono oggetto di preoccupazione. Ciò è dovuto alla crescente complessità delle distribuzioni, in particolare quelle dei sistemi abilitati all’apprendimento, non facilmente rintracciabili dal continuous engineering (DevOps). Il progetto FOCETA, finanziato dall’UE, svilupperà le basi per il continuous engineering di sistemi autonomi affidabili abilitati all’apprendimento che integrano l’ingegneria basata su dati e su modelli. Un nuovo sistema, basato su strumenti open source con scambi standard di dati aperti, sarà dimostrato con le applicazioni più impegnative quali l’automazione della guida urbana e i dispositivi medici intelligenti, in modo da dimostrarne la fattibilità, la scalabilità e la sicurezza.
Obiettivo
Ubiquitous AI will soon allow complex systems to drive on our roads, fly over our heads, move alongside us during our daily lives & work in our factories. In spite of this disruptive landscape, deployment and broader adoption of learned-enabled autonomous systems in safety-critical scenarios remains challenging. Continuous engineering (DevOps) can mediate problems when encountering new scenarios throughout the product life cycle. However, the technical foundations and assumptions on which traditional safety engineering principles rely do not extend to learning-enabled autonomous systems engineered under continuous development.
FOCETA gathers prominent academic groups & leading industrial partners to develop foundations for continuous engineering of trustworthy learning-enabled autonomous systems. The targeted scientific breakthrough lies within the convergence of “data-driven” and “model-based” engineering, where this convergence is further complicated by the need to apply verification and validation incrementally & avoid complete re-verification & re-validation efforts.
FOCETA’s paradigm is built on three scientific pillars: (1) integration of learning-enabled components & model-based components via a contract-based methodology which allows incremental modification of systems including threat models for cyber-security, (2) adaptation of verification techniques applied during model-driven design to learning components in order to enable unbiased decision making, & finally, (3) incremental synthesis techniques unifying both the enforcement of safety & security-critical properties as well as the optimization of performance.
FOCETA approach, implemented in open source tools & with open data exchange standards, will be applied to the most demanding & challenging applications such as urban driving automation & intelligent medical devices, to demonstrate its viability, scalability & robustness, while addressing European industry cutting-edge technology needs.
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Meccanismo di finanziamento
RIA - Research and Innovation actionCoordinatore
38058 Grenoble
Francia