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Autonomous Navigation of Mobile Robot with Obstacle Avoidance: A Review

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Futuristic Trends in Network and Communication Technologies (FTNCT 2020)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1396))

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Abstract

Navigation of mobile robot with obstacle avoidance is a successful research area owing to its comprehensive applications. Secure and smooth mobile robot navigation through different (static and dynamic) environments for single and multiple robot system to attain its goal with following secure path and producing a most fulfilling end result is the principal purpose of navigation. Many techniques are developed for mobile robot navigation. This paper proposes the soft computing techniques used in mobile robot navigation namely fuzzy logic, neural network and neuro-fuzzy. This paper concludes with strength, limitations, efficiency and tabular data of each methods.

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Author information

Authors and Affiliations

  1. Department of Computer Science & IT, Central University of Jammu, Jammu, India

    Mahvish Bijli

  2. Doctoral School of Applied Informatics & Applied Mathematics, Obuda University, Budapest, Hungary

    Neerendra Kumar

Authors
  1. Mahvish Bijli
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  2. Neerendra Kumar
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Editor information

Editors and Affiliations

  1. ABES Engineering College, Ghaziabad, India

    Pradeep Kumar Singh

  2. Southern Federal University, Rostov-on-Don, Russia

    Gennady Veselov

  3. Southern Federal University, Rostov-on-Don, Russia

    Anton Pljonkin

  4. Jaypee Institute of Information Technology, Waknaghat, India

    Yugal Kumar

  5. Systems Research Institute, Warszawa, Poland

    Marcin Paprzycki

  6. Southern Federal University, Rostov-on-Don, Russia

    Yuri Zachinyaev

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Bijli, M., Kumar, N. (2021). Autonomous Navigation of Mobile Robot with Obstacle Avoidance: A Review. In: Singh, P.K., Veselov, G., Pljonkin, A., Kumar, Y., Paprzycki, M., Zachinyaev, Y. (eds) Futuristic Trends in Network and Communication Technologies. FTNCT 2020. Communications in Computer and Information Science, vol 1396. Springer, Singapore. https://doi.org/10.1007/978-981-16-1483-5_28

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  • DOI: https://doi.org/10.1007/978-981-16-1483-5_28

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  • Online ISBN: 978-981-16-1483-5

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