An XSet Based Protocol for Coordinating the Behaviour of Stigmergic Ant-Like Robotic Devices

Chibaya, Colin

doi:10.1145/2815782.2815808

Cited by 4 publications

(1 citation statement)

References 14 publications

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“…The idea of swarm intelligence was inspired by everyday natural examples, such as a bee colony (Lemmens, 2006 ), and an ant colony (Chibaya, 2014). It can even be seen in the growth of bacteria, where individual organisms behave collectively but still act individually to grow together and find more sustenance to survive and expand (Niu, 2012).…”

Section: Introductionmentioning

confidence: 99%

Nanorobots target search strategies using swarm intelligence

Mushininga

Moodley

2023

IJRBS

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Controlling a swarm of bee-like nanorobots in search of a target in a human body-like environment is a challenge. The challenge lies in the causal factors of emergence. This research focused on designing and developing a bee-inspired algorithm to provide instructions to coordinate simple and naïve nanorobots in search of a target. Experiments were conducted through simulations to determine the rate at which myriads of agents converge at a target. A maze environment depicting human blood vessels was used to deploy the nanorobots. Different sample population sizes were used, and the results indicate that the bigger the sample size, the higher the convergence speed. Compared with a single complicated robot, the swarm of intelligently controlled nanorobots proved efficient and effective in finding a target in a human-like environment.

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Section: Introductionmentioning

confidence: 99%