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EveNt DrivEn Active Vision for Object peRception (ENDEAVOR)

CORDIS · observation · Publication date unknown

EveNt DrivEn Active Vision for Object peRception (ENDEAVOR) "Computer vision, leveraging deep learning in the last decade, has achieved unprecedented progress. However, it is largely relying on datasets of still images, thus using ""passive vision"". On the contrary, biological vision is a fundamentally active process of exploration to disambiguate objects, and yet, the potential of active vision for robotics remains underexplored. The ENDEAVOR project seeks to redefine traditional static image analysis within fast online robotic applications. This project integrates the computational models of Sensorimotor Contingency Theory (O'Regan and Noe, 2001) with event-driven perception and neuromorphic computing. Sensorimotor contingency represents the dynamic relationship between an agent's sensory inputs and motor actions in the environment. Active sensory data generation naturally aligns with event-driven perception, tracking moving objects via agent-generated events, while ne

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recordType

award

status

SIGNED

region

EU

value

150438.72

unit

EUR