Internal agent states : experiments using the swarm leader concept

Mabrouk, Mohamed H. and Murray, Craig W. and Johnstone, Kevin and McInnes, Colin R. (2008) Internal agent states : experiments using the swarm leader concept. In: Towards Autonomous Robotic Systems (TAROS 08), 2008-09-01 - 2008-09-03.

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    Abstract

    In recent years, an understanding of the operating principles and stability of natural swarms has proven to be a useful tool for the design and control of artificial robotic agents. Many robotic systems, whose design or control principals are inspired by behavioural aspects of real biological systems such as leader-follower relationship, have been developed. We introduced an algorithm which successfully enhances the navigation performance of a swarm of robots using the swarm leader concept. This paper presents some applications based on that work using the simulations and experimental implementation using a swarming behaviour test-bed at the University of Strathclyde. Experimental and simulation results match closely in a way that confirms the efficiency of the algorithm as well as its applicability.

    Creators(s): Mabrouk, Mohamed H., Murray, Craig W., Johnstone, Kevin ORCID logoORCID: https://orcid.org/0000-0003-3422-1592 and McInnes, Colin R.;
    Item type:Conference or Workshop Item(Paper)
    ID code:8108
    Keywords:internal agent states, swarm leader, navigation systems, artificial robotic agents, Mechanical engineering and machinery, Motor vehicles. Aeronautics. Astronautics, Aerospace Engineering, Control and Systems Engineering, Computational Mechanics
    Subjects:Technology > Mechanical engineering and machinery
    Technology > Motor vehicles. Aeronautics. Astronautics
    Department:Faculty of Engineering > Mechanical and Aerospace Engineering
    Faculty of Engineering > Electronic and Electrical Engineering
    Technology and Innovation Centre > Advanced Engineering and Manufacturing
    Depositing user: Ms Katrina May
    Date deposited:22 Jun 2009 12:49
    Last modified:08 Dec 2020 08:06
    URI:https://strathprints.strath.ac.uk/id/eprint/8108
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