• DocumentCode
    724491
  • Title

    Path planning algorithms for source seeking agents

  • Author

    Rui Zou ; Yan Tian ; Bhattacharya, Sourabh

  • Author_Institution
    Dept. of Mech. Eng., Iowa State Univ., Ames, IA, USA
  • fYear
    2015
  • fDate
    23-25 May 2015
  • Firstpage
    4865
  • Lastpage
    4870
  • Abstract
    In this paper, we address the problem of source-seeking for sources that transmit signals which decay according to a specific path loss model. This is typical for sources emitting electromagnetic signals. Based on this decay profile, we analyze the scenario where the seeker has partial knowledge about the equation that governs the decay profile. We present an approximate gradient descent based iterative algorithm for this case. We prove that the seeker converges to the source after traveling a finite distance. We also present a quantitative measure of the performance of our algorithm in terms of the number of measurements required by the seeker. Next, we extend the aforementioned algorithm to provide cooperative path planning algorithms for a team of seekers. Finally, we provide simulation results that show the effectiveness of the algorithms.
  • Keywords
    iterative methods; mobile robots; path planning; autonomous agent; cooperative path planning algorithm; electromagnetic signal; iterative algorithm; path loss model; source seeking agent; Manganese; Mechanical engineering; Mobile robots; Robot sensing systems; Tin; Trajectory; Autonomous Agents; Path Planning; Source Seeking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (CCDC), 2015 27th Chinese
  • Conference_Location
    Qingdao
  • Print_ISBN
    978-1-4799-7016-2
  • Type

    conf

  • DOI
    10.1109/CCDC.2015.7162795
  • Filename
    7162795