• DocumentCode
    3713680
  • Title

    A study on robot motion planning using information of crowd density

  • Author

    Seunghwan Park; Jaeil Cho

  • Author_Institution
    Intelligent Cognitive Technology Research Department, ETRI, Daejeon, 305-700, KOREA
  • fYear
    2015
  • Firstpage
    159
  • Lastpage
    160
  • Abstract
    A robot should know when and how it can move safely without any collision with humans in a space where many people move in various directions. In this paper, we suggest an idea that a robot can move adequately in a complex environment with human crowd. For this purpose, we define the degree of crowd density by using the ratio of blocked space to total space. Current time is also saved to decide more proper motion of a robot with time information. Then, a global path of a robot will be generated under consideration of the elimination of a sudden evasion or a dull motion due to human crowd. Using this idea, a robot will be able to complete its motion without any threat to some vulnerable people such as elders and/or patients.
  • Keywords
    "Logistics","Density measurement","Optical imaging","Image motion analysis","Computer vision","Robot motion"
  • Publisher
    ieee
  • Conference_Titel
    Ubiquitous Robots and Ambient Intelligence (URAI), 2015 12th International Conference on
  • Type

    conf

  • DOI
    10.1109/URAI.2015.7358852
  • Filename
    7358852