• DocumentCode
    3754807
  • Title

    Collision-free navigation for mobile robots by grouping obstacles

  • Author

    Chunshan Liu;Erbao Dong;Dongping Lu;Min Xu;Xin Wei;Jie Yang

  • Author_Institution
    Department of Precision Machinery and Precision Instrumentation, University of Science and Technology of China, Hefei, Anhui Province, 230026, China
  • fYear
    2015
  • Firstpage
    1686
  • Lastpage
    1691
  • Abstract
    This paper presents a path planning strategy for mobile robot navigation with a laser range finder (LRF) in unknown environments. The strategy takes the view of field into consideration and achieves a safe navigation. The strategy can deal with different obstacles with irregular contours through extracting their features and grouping obstacles rather than approximating obstacles as circular objects with a minimum radius. The strategy was tested with extensive simulations in some typical environments such as "door", U-shaped obstacles and the results revealed that the proposed strategy can achieve an effective procedure for avoiding obstacles while generating smooth paths in an environment with different configurations of multiple obstacles.
  • Keywords
    "Mobile robots","Navigation","Feature extraction","Path planning","Robot sensing systems","Mathematical model"
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Biomimetics (ROBIO), 2015 IEEE International Conference on
  • Type

    conf

  • DOI
    10.1109/ROBIO.2015.7419014
  • Filename
    7419014