A motion planning strategy for rapidly finding an object with a mobile manipulator in 3-D environments

Alejandro Sarmiento, Judith Espinoza, Rafael Murrieta-Cid, Seth Hutchinson

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish (US)
Title of host publicationMICAI 2008
Subtitle of host publicationAdvances in Artificial Intelligence - 7th Mexican International Conference on Artificial Intelligence, Proceedings
Pages562-572
Number of pages11
DOIs
StatePublished - 2008
Event7th Mexican International Conference on Artificial Intelligence, MICAI 2008 - Atizapan de Zaragoza, Mexico
Duration: Oct 27 2008Oct 31 2008

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5317 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other7th Mexican International Conference on Artificial Intelligence, MICAI 2008
Country/TerritoryMexico
CityAtizapan de Zaragoza
Period10/27/0810/31/08

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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