Comparative analysis of path planners for a car-like mobile robot in a cluttered environment

  • Hyunki Kwon*
  • , Woojin Chung
  • *Corresponding author for this work

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

    4 Citations (Scopus)

    Abstract

    A car parking control problem is difficult because of nonholonomic constraints and complicated environmental geometry. We proposed KPP (Korea University Path Planner) in our prior work. KPP is a appropriate scheme for a car-like mobile robot in a parking environment. The purpose of this paper is to investigate the advantages of KPP through both quantitative and qualitative analyses. For comparison, numerical simulations have been carried out by the application of KPP and the conventional RRT (Rapidly Exploring Random Tree) method. The RRT scheme is one of the widely used path planning schemes owing to its superior performance. This paper shows that KPP exhibits outstanding performance from the viewpoints of optimality and computational efficiency.

    Original languageEnglish
    Title of host publication2011 IEEE International Conference on Robotics and Biomimetics, ROBIO 2011
    Pages602-607
    Number of pages6
    DOIs
    Publication statusPublished - 2011
    Event2011 IEEE International Conference on Robotics and Biomimetics, ROBIO 2011 - Phuket, Thailand
    Duration: 2011 Dec 72011 Dec 11

    Publication series

    Name2011 IEEE International Conference on Robotics and Biomimetics, ROBIO 2011

    Other

    Other2011 IEEE International Conference on Robotics and Biomimetics, ROBIO 2011
    Country/TerritoryThailand
    CityPhuket
    Period11/12/711/12/11

    ASJC Scopus subject areas

    • Computer Vision and Pattern Recognition

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