A Motion Planning Strategy for Rapidly Finding an Object with a Mobile Manipulator in 3-D Environments

  • Authors:
  • Alejandro Sarmiento;Judith Espinoza;Rafael Murrieta-Cid;Seth Hutchinson

  • Affiliations:
  • University of Illinois, Beckman Institute, Urbana,;Centro de Investigación en Matemáticas, CIMAT, Guanajuato, México;Centro de Investigación en Matemáticas, CIMAT, Guanajuato, México;University of Illinois, Beckman Institute, Urbana,

  • Venue:
  • MICAI '08 Proceedings of the 7th Mexican International Conference on Artificial Intelligence: Advances in Artificial Intelligence
  • Year:
  • 2008

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Abstract

In this paper, we address the problem of searching for an object in a 3-D environment. We consider a mobile manipulator with an "eye-in-hand" sensor moving in the 3-D environment. In particular, we consider a static object whose location is modeled with a probability density function (pdf). We generate routes that minimize the expected value of the time until the object is first seen when following the route. We use a sample-based convex cover to estimate the size and shape of visibility regions in 3-D. The resulting convex regions are exploited to generate trajectories that compromise between moving the manipulator base and moving the robotic arm.