Proceedings of the 4th International Conference on Vocational Education and Technology, IConVET 2021, 27 November 2021, Singaraja, Bali, Indonesia

Research Article

The Application of Fuzzy Logic to Identify the Room on Navigation Map of Fire Extinguisher Robot

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  • @INPROCEEDINGS{10.4108/eai.27-11-2021.2315634,
        author={Arif Ainur  Rafiq and Erna  Alimudin and Artdhita Fajar  Pratiwi and Eka Dyah Puspita  Sari},
        title={The Application of Fuzzy Logic to Identify the Room on Navigation Map of Fire Extinguisher Robot},
        proceedings={Proceedings of the 4th International Conference on Vocational Education and Technology, IConVET 2021, 27 November 2021, Singaraja, Bali, Indonesia},
        publisher={EAI},
        proceedings_a={ICONVET},
        year={2022},
        month={2},
        keywords={sugeno fuzzy logic fire extinguisher robot legged robot},
        doi={10.4108/eai.27-11-2021.2315634}
    }
    
  • Arif Ainur Rafiq
    Erna Alimudin
    Artdhita Fajar Pratiwi
    Eka Dyah Puspita Sari
    Year: 2022
    The Application of Fuzzy Logic to Identify the Room on Navigation Map of Fire Extinguisher Robot
    ICONVET
    EAI
    DOI: 10.4108/eai.27-11-2021.2315634
Arif Ainur Rafiq1,*, Erna Alimudin1, Artdhita Fajar Pratiwi1, Eka Dyah Puspita Sari2
  • 1: Politeknik Negeri Cilacap
  • 2: Universitas Jenderal Sudirman
*Contact email: arifainurrafiq@gmail.com

Abstract

The Indonesian Fire Extinguisher Robot Contest is a competition for a legged-type robot that puts out the fire in a room. The robot has to identify four rooms then recognize and extinguish the fire. In this research, the mapping route method was used for room identification simulated with MATLAB to obtain the outcome in the form of crisp with Sugeno's Fuzzy Logic approach. The robot’s presence was identified in the take-out position, the hallway, and the room. As a result, the robot could distinguish its position if it consistently moved in a straight line and the rules' variations were increasing. The robot went to the room for eight minutes from the start position. Further research can add a fuzzy method to end-effector robots to minimize the moving slope.