Recent theoretical developments have revealed that the influences and efficiency that mobile robots have brought to society in the last years are incredibly revealing and should be explored in applications for the benefit of the community and the corporate world. Access to this technology enables the development of innovative research for increasingly active industrial environments. This research constitutes a relatively new area which has emerged from the problems of the industry that aims to automate activities considered costly efficiently. A common strategy used to study mobile robots, in production, is to automate work routines through robots, but specific tasks improve specific works. This paper proposes a new approach to use a SWARM of mobile robots to solve problems in the industry based on the bio-inspired solution. The bacteria can have actions that guarantee the survival of their colony; for this purpose, a series of measures can be adopted by the bacteria constituting the colony. This approach has been widely adopted in the field of SWARM of mobile robots with technical and sensory restrictions, to realize a plausible application in the industrial environment. The results of the experiment found clear support for the methodology created, and the bio-inspired SWARM proved to be potentially useful for applications in real industrial robot solutions conforme artigo [11].


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    A Bio-Inspired Approach for Robot Swarm in Smart Factories


    Additional title:

    Advs in Intelligent Syst., Computing



    Conference:

    Iberian Robotics conference ; 2019 ; Porto, Portugal November 20, 2019 - November 22, 2019



    Publication date :

    2019-11-20


    Size :

    12 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




    A Bio-Inspired Approach for Robot Swarm in Smart Factories

    Rohrich, Ronnier Frates / Teixeira, Marco Antonio Simoes / Piardi, Luis et al. | TIBKAT | 2020


    Shinerbot: Bio-Inspired Collective Robot Swarm Navigation Platform

    Luo, Enyu / Fang, Xin Hui / Ng, Yuting et al. | British Library Conference Proceedings | 2016


    Preliminary Design Concept of Locust Inspired Jumping Moon Robot Swarm

    Herkenhoff, Brenden / Lanctot, Sara / Bjorkman, Trent et al. | AIAA | 2021


    PRELIMINARY DESIGN CONCEPT OF LOCUST INSPIRED JUMPING MOON ROBOT SWARM

    Herkenhoff, Brenden / Lanctot, Sara / Bjorkman, Trent et al. | TIBKAT | 2021


    Industrial Robotics for ERP Controlled Smart Factories

    Tajti, Ferenc / Szayer, Géza / Kovács, Bence et al. | BASE | 2015

    Free access