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- W762241337 abstract "We present a visual robot whose associated neural controller develops a realistic perception of affordances. The controller uses known insect brain principles; particularly the time stabilized sparse code communication between the Antennal Lobe and the Mushroom Body. The robot perceives the world through a webcam and canny border openCV routines. Self-controlled neural agents process this massive raw data and produce a time stabilized sparse version, where implicit time-space information is encoded. Preprocessed information is relayed to a population of neural agents specialized in cognitive activities and trained under self-critical isolated conditions. Isolation induces an emergent behavior which makes possible the invariant visual recognition of objects. This later capacity is assembled into cognitive strings which incorporate time-elapse learning resources activation. By using this assembled capacity during an extended learning period the robot finally achieves perception of affordances. The system has been tested in real time with real world elements." @default.
- W762241337 created "2016-06-24" @default.
- W762241337 creator A5073775071 @default.
- W762241337 date "2015-01-01" @default.
- W762241337 modified "2023-09-25" @default.
- W762241337 title "A Bio-Inspired Robot with Visual Perception of Affordances" @default.
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- W762241337 doi "https://doi.org/10.1007/978-3-319-16181-5_31" @default.
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