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Cited by 16 publications
(16 citation statements)
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“…The benefits of using dynamical threshold models (such as ARTM), in terms of increase of the survivability and adaptability of swarm systems in changing environments, was previously shown only by computer simulations in Castello et al (2013) and Castello et al (2014). This paper aims at confirming those simulation results in a new set of experiments conducted using real robots.…”
Section: Real-robot Experimentssupporting
confidence: 62%
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“…The benefits of using dynamical threshold models (such as ARTM), in terms of increase of the survivability and adaptability of swarm systems in changing environments, was previously shown only by computer simulations in Castello et al (2013) and Castello et al (2014). This paper aims at confirming those simulation results in a new set of experiments conducted using real robots.…”
Section: Real-robot Experimentssupporting
confidence: 62%
“…7, the response threshold models studied in this paper do not internally rely on any globalised transmitted information. This external architecture is only a convenient means to provide robots with virtual sensors, and thus the same sensor information as in our previous simulation experiments (Castello et al, 2013(Castello et al, , 2014. Therefore, these models can be regarded as decentralised solutions to foraging processes.…”
Section: Real-robot Experimentsmentioning
confidence: 99%
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