• DocumentCode
    2407931
  • Title

    Navigation among visually connected sets of partially distinguishable landmarks

  • Author

    Erickson, Lawrence H. ; LaValle, Steven M.

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Illinois at Urbana-Champaign, Urbana, IL, USA
  • fYear
    2012
  • fDate
    14-18 May 2012
  • Firstpage
    4829
  • Lastpage
    4835
  • Abstract
    A robot navigates in a polygonal region populated by a set of partially distinguishable landmarks. The robot´s motion primitives consist of actions of the form “drive toward a landmark of class x”. To effectively navigate, the robot must always be able to see a landmark. Also, if the robot sees two landmarks of the same class, its motion primitives become ambiguous. Finally, if the robot wishes to navigate from landmark s0 to landmark sgoal with a simple graph search algorithm, then there must be a sequence of landmarks [s0, s1, s2, ..., sk = sgoal], in which landmark si is visible from si-1. Given these three conditions, how many landmark classes are required for navigation in a given polygon P? We call this minimum number of landmark classes the connected landmark class number, denoted χCL(P). We study this problem for the monotone polygons, an important family of polygons that are frequently generated as intermediate steps in other decomposition algorithms. We demonstrate that for all odd k, there exists a monotone polygon Mk with 3 over 4 (k2 + 2k + 1) vertices such that χCL(P) ≥ k. We also demonstrate that for any n-vertex monotone polygon P, χCL(P) ≤ n/3 + 12.
  • Keywords
    geometry; graph theory; mobile robots; path planning; search problems; decomposition algorithms; graph search algorithm; monotone polygons; partially distinguishable landmarks; polygonal region; robot motion primitives; robot navigation; visually connected sets; Color; Green products; Navigation; Robot motion; Robot sensing systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation (ICRA), 2012 IEEE International Conference on
  • Conference_Location
    Saint Paul, MN
  • ISSN
    1050-4729
  • Print_ISBN
    978-1-4673-1403-9
  • Electronic_ISBN
    1050-4729
  • Type

    conf

  • DOI
    10.1109/ICRA.2012.6224694
  • Filename
    6224694