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Robot path planning in a dynamic and unknown environment based on Colonial Competitive Algorithm (CCA) and fuzzy logic

Author

Listed:
  • Habibifar, Saeed
  • Kashaninia, Alireza
  • Farokhi, Fardad

Abstract

Robot path planning has been one of the favorite areas for many Machine Learning researchers from the past up to date. The trajectory designed for a robot can be simple or complex. The robot must pass through obstacles which are either movable or fixed. One of the considerable ways for robot path planning in the dynamic and unknown environment is a combination of Evolutionary algorithm and Fuzzy logic. There are different kinds of evolutionary algorithms such as Genetic algorithm, Ant Colony algorithm, Colonial Competitive algorithm, etc. A new approach has been proposed in this paper for robot path planning in the dynamic and unknown environment based on both the Colonial Competitive algorithm and fuzzy rules. The implemented results of the proposed method present its superiority over previous methods which used only fuzzy logic method.

Suggested Citation

  • Habibifar, Saeed & Kashaninia, Alireza & Farokhi, Fardad, 2017. "Robot path planning in a dynamic and unknown environment based on Colonial Competitive Algorithm (CCA) and fuzzy logic," MPRA Paper 92255, University Library of Munich, Germany, revised Sep 2017.
    • Handle: RePEc:pra:mprapa:92255
    as

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    References listed on IDEAS

    as
    1. Moghaddam, Amir Kamyab & Ketabdar, Milad & Amir Ahmadian, Sepideh & Hoseini, Pedram & Pishdadakhgari, Mohammadali, 2017. "Experimental survey of energy dissipation in nappe flow regime in stepped spillway equipped with inclined steps and sill," MPRA Paper 94690, University Library of Munich, Germany, revised Apr 2017.
    2. Rahmani, Fatemeh, 2018. "Electric Vehicle Charger Based on DC/DC Converter Topology," MPRA Paper 108310, University Library of Munich, Germany, revised 01 Jul 2018.
    3. Rahmani, Javad & Sadeghian, Ehsan & Dolatiary, Soheil, 2018. "Comparison between ideal and estimated pv parameters using evolutionary algorithms to save the economic costs," MPRA Paper 91708, University Library of Munich, Germany.
    4. Rahmani, Fatemeh & Razaghian, Farhad & Kashaninia, Alireza, 2014. "High Power Two- Stage Class-AB/J Power Amplifier with High Gain and Efficiency," MPRA Paper 86867, University Library of Munich, Germany, revised May 2014.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Colonial competitive Algorithm; Dynamic and unknown environment; Fixed and movable obstacles; Fuzzy Logic; Robot path planning;
    All these keywords.

    JEL classification:

    • L62 - Industrial Organization - - Industry Studies: Manufacturing - - - Automobiles; Other Transportation Equipment; Related Parts and Equipment
    • L63 - Industrial Organization - - Industry Studies: Manufacturing - - - Microelectronics; Computers; Communications Equipment
    • L91 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Transportation: General
    • L92 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Railroads and Other Surface Transportation
    • L94 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Electric Utilities

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