• DocumentCode
    1396144
  • Title

    Mobile robot relocation from echolocation constraints

  • Author

    Lim, Jong Hwan ; Leonard, John J.

  • Author_Institution
    Dept. of Mech. Eng., Cheju Nat. Univ., South Korea
  • Volume
    22
  • Issue
    9
  • fYear
    2000
  • fDate
    9/1/2000 12:00:00 AM
  • Firstpage
    1035
  • Lastpage
    1041
  • Abstract
    This paper presents a method for relocation of a mobile robot using sonar data. The process of determining the pose of a mobile robot with respect to a global reference frame in situations where no a priori estimate of the robot´s location is available is cast as a problem of searching for correspondences between measurements and an a priori map of the environment. A physically-based sonar sensor model is used to characterize the geometric constraints provided by echolocation measurements of different types of objects. Individual range returns are used as data features in a constraint-based search to determine the robot´s position. A hypothesize and test technique is employed in which positions of the robot are calculated from all possible combinations of two range returns that satisfy the measurement model. The algorithm determines the positions which provide the best match between the range returns and the environment model. The performance of the approach is demonstrated using data from both a single scanning Polaroid sonar and from a ring of Polaroid sonar sensors
  • Keywords
    mobile robots; pattern matching; position measurement; sonar; Polaroid sonar sensor ring; constraint-based search; data features; echolocation constraints; geometric constraints; global reference frame; hypothesize-and-test technique; mobile robot relocation; physically-based sonar sensor model; pose determination; range returns; scanning Polaroid sonar sensor; sonar data; Data mining; Mobile robots; Position measurement; Robot sensing systems; Sensor phenomena and characterization; Solid modeling; Sonar applications; Sonar measurements; Sonar navigation; Testing;
  • fLanguage
    English
  • Journal_Title
    Pattern Analysis and Machine Intelligence, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0162-8828
  • Type

    jour

  • DOI
    10.1109/34.877524
  • Filename
    877524