Geometric Learning and Topological Inference With Biobotic Networks

@article{Dirafzoon2016GeometricLA,
  title={Geometric Learning and Topological Inference With Biobotic Networks},
  author={Alireza Dirafzoon and Alper Bozkurt and Edgar J. Lobaton},
  journal={IEEE Transactions on Signal and Information Processing over Networks},
  year={2016},
  volume={3},
  pages={200-215}
}
In this study, we present and analyze a framework for geometric and topological estimation for mapping of unknown environments. We consider agents mimicking motion behaviors of cyborg insects, known as biobots, and exploit coordinate-free local interactions among them to infer geometric and topological information about the environment, under minimal sensing and localization constraints. A metric estimation procedure is presented over a graphical representation referred to as the encounter… CONTINUE READING

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