ArticleRoyal Society open science2019
Testing the limits of pheromone stigmergy in high-density robot swarms.
Article in Royal Society open science, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
7 citing papers in PubMed.
- Towards applied swarm robotics: current limitations and enablers.Frontiers in robotics and AI · 2025Article
- Balancing Collective Exploration and Exploitation in Multi-Agent and Multi-Robot Systems: A Review.Frontiers in robotics and AI · 2021Review
- Spider webs inspiring soft robotics.Journal of the Royal Society, Interface · 2020Article
- The Bayesian superorganism: externalized memories facilitate distributed sampling.Journal of the Royal Society, Interface · 2020Article
- Phormica: Photochromic Pheromone Release and Detection System for Stigmergic Coordination in Robot Swarms.Frontiers in robotics and AI · 2020Article
- Phenotypic Plasticity Provides a Bioinspiration Framework for Minimal Field Swarm Robotics.Frontiers in robotics and AI · 2020Article
- Testing the limits of pheromone stigmergy in high-density robot swarms.Royal Society open science · 2019Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
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 (
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.