• DocumentCode
    1818322
  • Title

    Nonholonomic mobile robot path planning with linear computational complexity graph searching algorithm

  • Author

    Niewola, Adam ; Podsedkowski, Leszek

  • Author_Institution
    Inst. of Machine Tools & Production Eng., Tech. Univ. of Lodz, Lodz, Poland
  • fYear
    2015
  • fDate
    6-8 July 2015
  • Firstpage
    217
  • Lastpage
    222
  • Abstract
    The A* algorithm and its modifications are commonly used in graph searching for mobile robot path planning. However in case of large open list sizes the A* algorithm needs significant time to find the solution due to the open list sorting procedure which determines the computational complexity of A*. This paper presents a new approach called L* which improves the A* graph searching algorithm and provides linear computational complexity due to the lack of the open list sorting procedure. This is a crucial factor in order to decrease the time consumption for large open list sizes in a graph searching algorithm.
  • Keywords
    computational complexity; graph theory; mobile robots; path planning; sorting; A* graph searching algorithm; L* approach; linear computational complexity graph searching algorithm; nonholonomic mobile robot path planning; open list sorting procedure; Computational complexity; Euclidean distance; Mobile robots; Path planning; Search problems; Sorting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robot Motion and Control (RoMoCo), 2015 10th International Workshop on
  • Conference_Location
    Poznan
  • Type

    conf

  • DOI
    10.1109/RoMoCo.2015.7219738
  • Filename
    7219738