Context-Aware Decision Making for Maze Solving

نویسندگان

  • Sheir Afgen Zaheer
  • Jong-Hwan Kim
چکیده

This paper proposes a context-aware decision making framework for a maze solving robot. The proposed architecture utilizes a fuzzy integral based decision making scheme to select the best behavior according to the current environmental context of the robot. The simulation results show that despite having no prior information about the arrangement of the maze, the proposed cognitive architecture for context-aware decision making successfully enabled the robot to find its way through the maze.

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تاریخ انتشار 2012