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Navigational Control and Path Optimization of Mobile Robot Using Updated Sine–Cosine Algorithm in Obscure Environment

  • Saroj Kumar*
  • , Dayal R. Parhi
  • , Abhishek Kumar Kashyap
  • , Manoj Kumar Muni
  • , Prasant Ranjan Dhal
  • *Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    The metaheuristic optimization technique, updated sine–cosine algorithm (USCA), is basically based on the mathematical explanation of sine and cosine functions. It is applied on navigational control of mobile robot to optimize the path. The application of USCA is validated with V-Rep simulation and laboratory experiments with Khepera-III robot in an unknown environment. Robot effectively achieved the specified target without any collision. The comparative result tables show a difference in each run of robot under 5% which is considerable range of deviation in results.

    Original languageEnglish
    Title of host publicationCurrent Advances in Mechanical Engineering - Select Proceedings of ICRAMERD 2020
    EditorsSaroj Kumar Acharya, Dipti Prasad Mishra
    PublisherSpringer Science and Business Media Deutschland GmbH
    Pages989-996
    Number of pages8
    ISBN (Print)9789813347946
    DOIs
    Publication statusPublished - 2021
    EventInternational Conference on Recent Advances in Mechanical Engineering Research and Development, ICRAMERD 2020 - Bhubaneswar, India
    Duration: 24-07-202025-07-2020

    Publication series

    NameLecture Notes in Mechanical Engineering
    Volume52
    ISSN (Print)2195-4356
    ISSN (Electronic)2195-4364

    Conference

    ConferenceInternational Conference on Recent Advances in Mechanical Engineering Research and Development, ICRAMERD 2020
    Country/TerritoryIndia
    CityBhubaneswar
    Period24-07-2025-07-20

    All Science Journal Classification (ASJC) codes

    • Automotive Engineering
    • Aerospace Engineering
    • Mechanical Engineering
    • Fluid Flow and Transfer Processes

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