Evolving Vision-based Flying Robots

We describe a new experimental approach whereby an indoor flying robot evolves the ability to navigate in a textured room using only visual information and neuromorphic control. The architecture of a spiking neural circuit, which is connected to the vision system and to the motors, is genetically encoded and evolved on the physical robot without human intervention. The flying robot consists of a small wireless airship equipped with a linear camera and a set of sensors used to measure its performance. Evolved spiking circuits can manage to fly the robot around the room by exploiting a combination of visual features, robot morphology, and interaction dynamics.


Published in:
2nd International Workshop on Biologically Motivated Computer Vision (BMCV'2002), 592-600
Presented at:
2nd International Workshop on Biologically Motivated Computer Vision (BMCV'2002), Tübingen, November 22 - 24
Year:
2002
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 Record created 2006-01-12, last modified 2018-03-17

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