• DocumentCode
    1757310
  • Title

    Time-Optimal Motion Strategies for Capturing an Omnidirectional Evader Using a Differential Drive Robot

  • Author

    Ruiz, Ubaldo ; Murrieta-Cid, Rafael ; Marroquin, Jose Luis

  • Author_Institution
    Centro de Investig. en Mat., Guanajuato, Mexico
  • Volume
    29
  • Issue
    5
  • fYear
    2013
  • fDate
    Oct. 2013
  • Firstpage
    1180
  • Lastpage
    1196
  • Abstract
    In this paper, we consider the problem of capturing an omnidirectional evader using a differential drive robot in an obstacle-free environment. At the beginning of this game, the evader is at a distance (the capture distance) from the pursuer. The goal of the evader is to keep the pursuer farther than this capture distance for as long as possible. The goal of the pursuer is to capture the evader as soon as possible. In this paper, we make the following contributions. We present closed-form representations of the motion primitives and time-optimal strategies for each player; these strategies are in Nash equilibrium, meaning that any unilateral deviation of each player from these strategies does not provide to such player benefit toward the goal of winning the game. We propose a partition of the playing space into mutually disjoint regions where the strategies of the players are well established. This partition is represented as a graph, which exhibits properties that guarantee global optimality. We also analyze the decision problem of the game and we present the conditions defining the winner.
  • Keywords
    collision avoidance; game theory; mobile robots; Nash equilibrium; closed-form representations; differential drive robot; obstacle-free environment; omnidirectional evader; time-optimal motion strategies; Capturing; differential games; nonholonomic constraints; pursuit-evasion;
  • fLanguage
    English
  • Journal_Title
    Robotics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1552-3098
  • Type

    jour

  • DOI
    10.1109/TRO.2013.2264868
  • Filename
    6525413