2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2015
DOI: 10.1109/iros.2015.7353405
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COSΦ: Artificial pheromone system for robotic swarms research

Abstract: Pheromone-based communication is one of the most effective ways of communication widely observed in nature. It is particularly used by social insects such as bees, ants and termites; both for inter-agent and agentswarm communications. Due to its effectiveness; artificial pheromones have been adopted in multi-robot and swarm robotic systems for more than a decade. Although, pheromonebased communication was implemented by different means like chemical (use of particular chemical compounds) or physical (RFID tags… Show more

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Cited by 43 publications
(47 citation statements)
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“…This is the only applied sensor in this research. It has been developed for biorobotics research, including swarm robotic applications [67,66], as well as neural vision systems research [56,15,21,20,9]. As illustrated in Fig.…”
Section: Experiments and Resultsmentioning
confidence: 99%
“…This is the only applied sensor in this research. It has been developed for biorobotics research, including swarm robotic applications [67,66], as well as neural vision systems research [56,15,21,20,9]. As illustrated in Fig.…”
Section: Experiments and Resultsmentioning
confidence: 99%
“…Two final examples of scale-invariant spatial features encountered in nature with direct potential applications are given by the fractal-shaped pheromone trails and by the power-law-distributed random-walk trajectories, both used to enhance exploration and foraging. Although depositing pheromone trails can be challenging for artificial artefacts (despite some attempts that have already been made with robots, see [204,205]), the pheromone concept can be used to build scale-invariant robot chains to facilitate exploration (so far, only non-scale-invariant chains have been considered, see [206]). Additionally, some attempts to implement power-law distributed random walks in robot swarms have already been made.…”
Section: Engineering Scale-free Systemsmentioning
confidence: 99%
“…This system claims to track hundreds of patterns in real-time using a standard PC [28]. In the follow-up research work, Farshad et al [18] redesigned the patterns and upgraded the software so that the localisation system could not only grasp robots' position P i , where i ∈ {1, 2, 3, ..., N } and N is the number of robots to be tracked, but also identify individual robot. The data of robots' position could be regarded as J i,j in (2) or (µ x , µ y ) in (5) to calculate the pheromone field.…”
Section: Localisationmentioning
confidence: 99%