Projektbeschreibung
Die Art überdenken, wie kooperative autonome Systeme sich vernetzen und zusammenwirken
Kooperative autonome Systeme werden zu einem Grundpfeiler vielfältiger Anwendungen von der Fabrikautomatisierung bis zu intelligenten Verkehrssystemen. Die Interaktion und Kooperation mit Menschen und anderen Systemen beruht hauptsächlich auf geteilten kabellosen Netzwerken, die anfällig für Datenengpässe und andere Einschränkungen sind. Mit einem unkonventionellen Ansatz wird das ERC-finanzierte Projekt MINERVA die Art, wie diese Systeme sich vernetzen und zusammenarbeiten, grundlegend neu bewerten, um die Grundprinzipien der Steuerung, Bewertung und Kommunikation in Echtzeit zu bestimmen. Das wird die Basis für einen neuen Rahmen bilden, über den die Vorteile von kooperativen autonomen Systemen in einer zunehmend automatisierten Welt besser ausgenutzt werden sollen.
Ziel
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.
Wissenschaftliches Gebiet
- 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
Programm/Programme
- HORIZON.1.1 - European Research Council (ERC) Main Programme
Thema/Themen
Finanzierungsplan
HORIZON-AG - HORIZON Action Grant Budget-BasedGastgebende Einrichtung
1678 Nicosia
Zypern