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Prediction of Robot Localization States Using Hidden Markov Models

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Artificial Intelligence and Industrial Applications (A2IA 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1193))

Abstract

The Groundhog robot is a robot built for the first time by the CMU (Carnegie Mellon University) Mine Mapping Team in 2003, which could explore and create the map of an abandoned coal mine. The prediction of the robot localization with precision still a big problem, for this reason, our study consists of a robot, which can move within an area of 9 squares. This robot is equipped with the sensing system, which detects obstacles in four directions: north, south, east and west. The sensors have an error rate of e = 25%. The objective of this work is the prediction of the robot localization using Hidden Markov Model.

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Acknowledgments

In the term of this paper, we thank the Laboratory of Mechanic, Mechatronics and Control (L2MC) of the ENSAM MEKNES. We do not forget both our colleagues and experts for the information source. In addition, we thank the steering committee of the Artificial Intelligence & Industrial Applications (A2IA’2020) to allow us to communicate our works and results.

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Authors and Affiliations

  1. ENSAM Meknes, Laboratory of Mechanics, Mechatronics and Control (L2MC), Moulay Ismail University, Marjane 2, Al-Mansour Road Agouray, PO Box 15290, 50500, Meknes, Morocco

    Jaouad Boudnaya, Amine Haytoumi, Omar Eddayer & Abdelhak Mkhida

Authors
  1. Jaouad Boudnaya
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  2. Amine Haytoumi
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  3. Omar Eddayer
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  4. Abdelhak Mkhida
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Corresponding author

Correspondence to Jaouad Boudnaya .

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Editors and Affiliations

  1. Laboratory of Mathematical Modeling, Simulation and Smart Systems (L2M3S), Department of Mathematics and Computer Science, Artificial Intelligence for Engineering Sciences Team (IASI), National Graduate School for Arts and Crafts, My Ismail University, Meknes, Morocco

    Tawfik Masrour

  2. Laboratory of Mathematical Modeling, Simulation and Smart Systems (L2M3S), Department of Industrial and Manufacturing Engineering, Modeling and Optimization of Industrial Systems Team (MOSI), National Graduate School for Arts and Crafts, My Ismail University, Meknes, Morocco

    Anass Cherrafi

  3. Laboratory of Mathematical Modeling, Simulation and Smart Systems (L2M3S), Department of Industrial and Manufacturing Engineering, Artificial Intelligence for Engineering Sciences Team (IASI), National Graduate School for Arts and Crafts, My Ismail University, Meknes, Morocco

    Ibtissam El Hassani

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Boudnaya, J., Haytoumi, A., Eddayer, O., Mkhida, A. (2021). Prediction of Robot Localization States Using Hidden Markov Models. In: Masrour, T., Cherrafi, A., El Hassani, I. (eds) Artificial Intelligence and Industrial Applications. A2IA 2020. Advances in Intelligent Systems and Computing, vol 1193. Springer, Cham. https://doi.org/10.1007/978-3-030-51186-9_18

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