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In this paper we develop a reliable visual recognition, distance measurement and identification algorithm to detect and identify kin robots in a mobile-robot swarm. Every robot in the swarm is equipped with a zebra pattern and our idea is based on the Fast Fourier Transform (FFT), which has a relatively low complexity. We sampled the camera images of the(More)
This paper focuses on a barcode pattern based kin recognition, identification and distance evaluation method for mobile-robot swarms. Every robot in the swarm is equipped with a unique, barcode like pattern. The robots capture images of other teammates and then the images are analysed by a Fast Fourier Transformation (FFT) in order to find kin robots on the(More)
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