Descripción del proyecto
Sistemas ciberfísicos autónomos seguros y fiables
El creciente uso de sistemas ciberfísicos autónomos (SCFA), como los vehículos autónomos, que se basan en la inteligencia artificial (IA), es muy prometedor para futuros desarrollos de la IA. Sin embargo, la falta de una garantía de calidad y fiabilidad sólidas en las soluciones de SCFA actuales suscita preocupación. Con el apoyo de las acciones Marie Skłodowska-Curie, el proyecto InnoGuard pretende desarrollar métodos novedosos para garantizar la calidad de los SCFA mediante la creación de programas de formación a medida para investigadores noveles. El proyecto pretende automatizar la evaluación de la calidad de los SCFA y hacer evolucionar el comportamiento del sistema. Además, aumentará la sostenibilidad medioambiental, la eficiencia energética y la fiabilidad de los métodos de IA para los SCFA, a la vez que mejorará la fiabilidad general y el cumplimiento de la legislación.
Objetivo
InnoGuard addresses novel challenges imposed by quality assurance of Autonomous Cyber-Physical Systems (ACPS), which have integrated Artificial Intelligence (AI) components. Their use in our daily lives is increasing, such as in public transport systems, highlighting the need for novel, robust development methodologies to ensure their dependability, whose compromise could have severe consequences, as exemplified by various incidents (e.g. accidents caused by Tesla's autopilot system). To ensure ACP dependability, InnoGuard targets developing novel methods for ACPS quality assurance by creating a tailored training program for Early-Stage Researchers (ESRs), with scientific objectives including methods to automate ACPS quality assessment and behavior evolution using AI techniques and enhancing ACPS dependability through real-time security, privacy, and uncertainty handling solutions. Additionally, InnoGuard seeks to improve the trustworthiness of AI methods, enhance environmental sustainability by increasing the energy efficiency of ACPSs with the usage of AI methods, including Large Language Models (LLMs), and validate such techniques in open-source contexts such as Robot Operating Systems (ROS)-based systems. Ultimately, InnoGuard will deliver novel techniques and methodological principles for ACPS quality assurance, ensuring high trustworthiness, reliability, and legal compliance. The project's holistic approach encompasses technical advancements and training initiatives, with a broad plan to disseminate results to industry stakeholders, associations, and the wider public. Through these efforts, InnoGuard strives to elevate the status of ESRs as future experts in ACPS engineering.
Programa(s)
- HORIZON.1.2 - Marie Skłodowska-Curie Actions (MSCA) Main Programme
Régimen de financiación
HORIZON-TMA-MSCA-DN - HORIZON TMA MSCA Doctoral NetworksCoordinador
20500 Arrasate
España