Article,

Online searching with an autonomous robot

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Computational Geometry: Theory and Applications (CGTA), 34 (2): 102--115 (May 2006)
DOI: 10.1016/j.comgeo.2005.08.005

Abstract

We discuss online strategies for visibility-based searching for an ob ject hidden behind a corner, using Kurt3D, a real autonomous mobile robot. This task is closely related to a number of well-studied problems. Our robot uses a threedimensional laser scanner in a stop, scan, plan, go fashion for building a virtual three-dimensional environment. Besides planning trajectories and avoiding obstacles, Kurt3D is capable of identifying objects like a chair. We derive a practically useful and asymptotically optimal strategy that guarantees a competitive ratio of 2, which differs remarkably from the well-studied scenario without the need of stopping for surveying the environment. Our strategy is used by Kurt3D, documented in a separate video.

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