Cel Bio-inspiration is a main driving force for the development of innovative and adapted artificial systems. Going one step further, the fundamental goal of this proposal is to design a cyber biological system (CBS) that interfaces a swarm of animals with a distributed artificial system. Our objective is to demonstrate that such CBS can benefit from advantages of both artificial and natural systems and outperform their constituents. Here, the goal of the CBS is to explore the environment searching for resources and to exploit them as soon as discovered. For this purpose, we integrate a model organism of biological societies, the ants, with an artificial system based on mobile robots, the Thymio. More specifically, the CBS will be composed by an ant nest coupled to static sensors that communicate with mobile robots. The ants will explore the environment and evaluate potential food sources. Once a source is discovered, static sensors placed at the nest exits will detect the increasing flow of ants recruited toward the resource and transmit this information to the mobile robots. Once alerted, the mobile robots will navigate in the environment and follow the ants until the food source to convey it to the nest. Thus, the CBS will benefit from the efficient exploration pattern of the ants to discover and evaluate potential resources and the ability of the robots to rapidly convey these resources to the nest. This synergy will save the energy that should be consumed by the robots for constantly exploring the environment and quicken the collect of the food, making the ants more rapidly available for further exploration. This project is the first to consider an insect swarm as a biosensor and to embed in a robot the ability to extract data from such swarm. In addition, this interdisciplinary project at the crossroads of biology and robotics ensures the development of skills and transfer of knowledge for the ER as well as the host organisation. Dziedzina nauki engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensorsbiosensorsnatural sciencescomputer and information sciencessoftwareagricultural sciencesanimal and dairy sciencedomestic animalsnatural sciencescomputer and information sciencesartificial intelligencecomputer visionengineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringrobotics Program(-y) H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions Main Programme H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility Temat(-y) MSCA-IF-2015-EF - Marie Skłodowska-Curie Individual Fellowships (IF-EF) Zaproszenie do składania wniosków H2020-MSCA-IF-2015 Zobacz inne projekty w ramach tego zaproszenia System finansowania MSCA-IF-EF-ST - Standard EF Koordynator ECOLE POLYTECHNIQUE FEDERALE DE LAUSANNE Wkład UE netto € 175 419,60 Adres BATIMENT CE 3316 STATION 1 1015 Lausanne Szwajcaria Zobacz na mapie Region Schweiz/Suisse/Svizzera Région lémanique Vaud Rodzaj działalności Higher or Secondary Education Establishments Linki Kontakt z organizacją Opens in new window Strona internetowa Opens in new window Uczestnictwo w unijnych programach w zakresie badań i innowacji Opens in new window sieć współpracy HORIZON Opens in new window Koszt całkowity € 175 419,60