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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 327))

Abstract

The autonomous mobile robots are used for various purposes like materials transportation, nuclear and military environments etc. In this paper fuzzy logic technique is used for controlling the mobile robot in an unknown environment. The main goal of robot is to reach the target point from a starting point with avoiding obstacles in the way. The Mamdani fuzzy logic controller is used to obtain collision free path where inputs are front obstacle distance (FOD), left obstacle distance (LOD), right obstacle distance (ROD), heading angle (HA) and the output corresponds to the steering angle (SA) of the mobile robot. The effectiveness of the controller is verified using Mamdani fuzzy inference system.

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Correspondence to Pratap Kumar Panigrahi .

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Panigrahi, P.K., Sahoo, S. (2015). Path Planning and Control of Autonomous Robotic Agent Using Mamdani Based Fuzzy Logic Controller and ARDUINO UNO Micro Controller. In: Satapathy, S., Biswal, B., Udgata, S., Mandal, J. (eds) Proceedings of the 3rd International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA) 2014. Advances in Intelligent Systems and Computing, vol 327. Springer, Cham. https://doi.org/10.1007/978-3-319-11933-5_20

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  • DOI: https://doi.org/10.1007/978-3-319-11933-5_20

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-11932-8

  • Online ISBN: 978-3-319-11933-5

  • eBook Packages: EngineeringEngineering (R0)

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