Abstract
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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Zaheer, S.A., Kim, JH. (2013). Context-Aware Decision Making for Maze Solving. In: Kim, JH., Matson, E., Myung, H., Xu, P. (eds) Robot Intelligence Technology and Applications 2012. Advances in Intelligent Systems and Computing, vol 208. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37374-9_56
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DOI: https://doi.org/10.1007/978-3-642-37374-9_56
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-37373-2
Online ISBN: 978-3-642-37374-9
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