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Brain-inspired technologies for intelligent navigation and mobility

Project description

Making mobility smarter with brain-inspired technology

So much has been achieved in robotic research over the past decades that today's robots have found applications in industry, service and medicine. And their role is growing. Twenty years after the first car navigation systems, the technology is expanding rapidly. The intersection of robotics and neuroscience is brain-inspired technologies, which are poised to further facilitate the development of intelligent navigation and autonomous mobility solutions. The EU-funded iNavigate project is bringing together scientists and engineers in academic, private and NGO enterprises. It aims to promote international and intersectorial cooperation for the next-generation, brain-inspired technologies to facilitate the development of intelligent and autonomous mobility solutions. Networking will be supported as well as knowledge utilisation, and dissemination through summer schools, workshops and conferences.

Objective

iNavigate, a Marie-Curie Research and Innovation Staff Exchange (RISE) consortium, brings together scientists and engineers in academic, private and NGO enterprises. Its goal is to promote international and intersectoral cooperation for the next generation, brain-inspired technologies to facilitate the development of intelligent navigation and autonomous mobility solutions. The consortium exploits the complementary competencies of its members while creating synergy through research, innovation, staff exchange and transfer of knowledge. It actively promotes networking, knowledge utilization and dissemination through summer schools, workshops, conferences, and facilitates new skill acquisition and career development in research, innovation and commercialization.

Keywords

Coordinator

BOGAZICI UNIVERSITESI
Net EU contribution
€ 335 800,00
Address
BEBEK
34342 Istanbul
Türkiye

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Region
İstanbul İstanbul İstanbul
Activity type
Higher or Secondary Education Establishments
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Total cost
€ 335 800,00

Participants (26)

Partners (5)