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Geometric Learning and Topological Inference with Biobotic Networks: Convergence Analysis
[article]
2016
arXiv
pre-print
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. Local interactions are used to create a graphical representation referred to as the encounter graph. A
arXiv:1607.00051v1
fatcat:ecr623dbtbdx7cbl72rdbyhdni