Abstract
Area coverage and collective exploration are key challenges for swarm robotics. Previous research in this field has drawn inspiration from ant colonies, with real, or more commonly virtual, pheromones deposited into a shared environment to coordinate behaviour through stigmergy. Repellent pheromones can facilitate rapid dispersal of robotic agents, yet this has been demonstrated only for relatively small swarm sizes (N < 30). Here, we report findings from swarms of real robots (Kilobots) an order of magnitude larger (N > 300) and from realistic simulation experiments up to N = 400. We identify limitations to stigmergy in a spatially constrained, high-density environment—a free but bounded two-dimensional workspace—using repellent binary pheromone. At larger N and higher densities, a simple stigmergic avoidance algorithm becomes first no better, then inferior to, the area coverage of non-interacting random walkers. Thus, the assumption of robustness and scalability for such approaches may need to be re-examined when they are working at a high density caused by ever-increasing swarm sizes. Instead, subcellular biology, and diffusive processes, may prove a better source of inspiration at large N in high agent density environments.
Original language | English |
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Article number | 190225 |
Number of pages | 14 |
Journal | Royal Society Open Science |
Volume | 6 |
Issue number | 11 |
DOIs | |
Publication status | Published - 6 Nov 2019 |
Keywords
- swarm robotics
- ants
- stigmergy
- pheromone
- diffusive processes
- scalability
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Dive into the research topics of 'Testing the limits of pheromone stigmergy in high-density robot swarms'. Together they form a unique fingerprint.Prizes
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3rd Place Equipment & Facilities EPSRC Photography Competition 2018
Hunt, E. R. (Recipient), Wright, J. H. G. (Recipient) & Hauert, S. (Recipient), 3 Jun 2019
Prize: Prizes, Medals, Awards and Grants
Datasets
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Data from: Testing the limits of pheromone stigmergy in spatially constrained robotic swarms
Hunt, E. (Contributor), Jones, S. (Contributor) & Hauert, S. (Contributor), Dryad, 1 Oct 2019
DOI: 10.5061/dryad.bc4b0kk, http://datadryad.org/stash/dataset/doi:10.5061/dryad.bc4b0kk
Dataset
Profiles
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Dr Edmund R Hunt
- School of Engineering Mathematics and Technology - Lecturer in Robotics
- Cabot Institute for the Environment
Person: Academic , Member