6th International ICST Conference on Bio-Inspired Models of Network, Information, and Computing Systems

Research Article

Bio-inspired Transputer Based-Fuzzy Mobile Robot

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  • @INPROCEEDINGS{10.1007/978-3-642-32615-8_60,
        author={Ebrahim Mattar and Khalid Al-Mutib and Hani Hamdan and Mohamad Hamdan},
        title={Bio-inspired Transputer Based-Fuzzy Mobile Robot},
        proceedings={6th International ICST Conference on Bio-Inspired Models of Network, Information, and Computing Systems},
        proceedings_a={BIOADCOM},
        year={2012},
        month={10},
        keywords={Bio-Inspired Robots Parallel Processing Occam Processes Mobile Robots Kinematics Fuzzy Systems Autonomous Robot},
        doi={10.1007/978-3-642-32615-8_60}
    }
    
  • Ebrahim Mattar
    Khalid Al-Mutib
    Hani Hamdan
    Mohamad Hamdan
    Year: 2012
    Bio-inspired Transputer Based-Fuzzy Mobile Robot
    BIOADCOM
    Springer
    DOI: 10.1007/978-3-642-32615-8_60
Ebrahim Mattar1,*, Khalid Al-Mutib2,*, Hani Hamdan3,*, Mohamad Hamdan4,*
  • 1: University of Bahrain
  • 2: King Saud University
  • 3: SUPELEC
  • 4: Université Libanaise
*Contact email: ebrgallaf@eng.uob.bh, mutib@ksu.edu.sa, Hani.Hamdan@supelec.fr, mhamdan@ul.edu.lb

Abstract

Mobile robots have been used widely in large number of intelligent based applications, where a random manoeuvring is an essential part of such systems, [1,2]. In this regards, experience has shown that mobile robots do require advanced parallel intelligent based control mechanisms. In this article, it is shown how a mobile robot can be controlled in movement via some rule based system. In this sense, the design, construction and testing of an autonomous mobile robot have already been defined in the literature. A Transputer Embedded Real-Time Controller has been widely used for industrial applications due to their advances. Here, a Fuzzy based Transputer System is used (on board the robot) to meet some intelligence requirements for the navigation and obstacle avoidance. A parallel fuzzy controller is implemented for a mobile robot guidance and obstacle avoidance. This is based on parallel processing of sonar data that do come from the mobile sensory system.