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Terrain Model Acquisition By Mobile Robot Teams and n-Connectivity

  • Nageswara S. V. Rao
Chapter

Abstract

The connectivity of the configuration space has been a valuable concept in the motion planning for single robots in both known and unknown terrains. We show here that n-connectivity plays a similar role for mobile robot teams in providing algorithms for terrain model acquisition in unknown terrains. A bound on the connectivity degree of the free-space, reflected in that of a navigation course, provides us an estimate of the size of a robot team that is effective for the terrain. We consider an unknown planar polygonal terrain. The robots are point-sized and equipped with visual sensors which acquire all visible parts of the terrain by scan operations executed from their locations. The performance is measured by the number of sensor (scan) operations which are assumed to be the most time-consuming of all the robot operations. We show that the Voronoi diagrams and trapezoidal decomposition methods yield solutions for efficient terrain model acquisition by a 2- and 3-robot team using visual sensors.

Keywords

Mobile Robot Voronoi Diagram Visibility Graph Single Robot Robot Team 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Tokyo 2000

Authors and Affiliations

  • Nageswara S. V. Rao
    • 1
  1. 1.Center for Engineering Science Advanced Research, Computer Science and Mathematics DivisionOak Ridge National LaboratoryOak RidgeUSA

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