Morphogen diffusion algorithms for tracking and herding using a swarm of kilobots
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This paper investigates self-organised collective formation control using swarm robots. In particular, we focus on collective tracking and herding using a large number of very simple robots. To this end, we choose kilobots as our swarm robot test bed due to its low cost and attractive operational scalability. Note, however, that kilobots have extremely limited locomotion, sensing and communication capabilities. To handle these limitations, a number of new control algorithms based on morphogen diffusion and network connectivity preservation have been suggested for collective object tracking and herding. Numerical simulations of large-scale swarm systems as well as preliminary physical experiments with a relatively small number of kilobots have been performed to verify the effectiveness of the proposed algorithms.
KeywordsSwarm robotics Object tracking Morphogen diffusion Network connectivity preservation Kilobots
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Conflict of interest
The authors declare that they have no conflict of interest.
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