Descripción del proyecto
Replantear la forma en que los sistemas autónomos cooperativos se interconectan y colaboran
Los sistemas autónomos cooperativos se están convirtiendo en el pilar de diversas aplicaciones, que van desde la automatización de fábricas hasta los sistemas de transporte inteligente. Para interactuar y cooperar con humanos y entre sí, dependen sobre todo de redes inalámbricas compartidas, lo que los hace vulnerables a congestiones de datos y otras limitaciones. Mediante un método no convencional, el equipo del proyecto MINERVA, financiado por el Consejo Europeo de Investigación, reevaluará la forma en que los sistemas autónomos cooperativos se interconectan y trabajan juntos para determinar los principios básicos de control, estimación y comunicación en tiempo real. De este modo, se sentarán las bases de un nuevo marco diseñado para aprovechar los grandes beneficios de los sistemas autónomos cooperativos en un mundo que depende cada vez más de la automatización.
Objetivo
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.
Ámbito científico
- 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
Programa(s)
- HORIZON.1.1 - European Research Council (ERC) Main Programme
Régimen de financiación
HORIZON-AG - HORIZON Action Grant Budget-BasedInstitución de acogida
1678 Nicosia
Chipre