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eMorph: Towards Neuromorphic Robotic Vision

Chiara Bartolozzi, Charles De Clercq, Neeraj K. Mandloi, Francesco Rea, Giacomo Indiveri, Daniel Fasnacht, Giorgio Metta, Michael Hofstätter, Ryad Benosman

Year
2011
Citations
7

Abstract

The eMorph project aims at introducing a new concept for vision in the field of humanoid robotics. The system that is currently being developed is inspired by the biology of mammalian visual systems, introducing concepts such as stimulus-driven signal acquisition and processing, together with space-variant sensor design coupled with active vision. This approach is leading to the realization of a system that goes beyond current thinking in robotic vision.

Keywords

Neuromorphic engineeringComputer scienceRoboticsArtificial intelligenceHuman–computer interactionRealization (probability)Machine visionActive visionHumanoid robotComputer vision

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