ReviewFrontiers in robotics and AI2018
Embodied Evolution in Collective Robotics: A Review.
Review in Frontiers in robotics and AI, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 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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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
11 citing papers in PubMed.
- Signalling and social learning in swarms of robots.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2025Article
- Towards applied swarm robotics: current limitations and enablers.Frontiers in robotics and AI · 2025Article
- Recent trends in robot learning and evolution for swarm robotics.Frontiers in robotics and AI · 2023Review
- Enactive artificial intelligence: subverting gender norms in human-robot interaction.Frontiers in neurorobotics · 2023Article
- Meta-control of social learning strategies.PLoS computational biology · 2022Article
- The emergence of collective knowledge and cumulative culture in animals, humans and machines.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2022Article
- Social learning in swarm robotics.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2022Article
- Empirical assessment and comparison of neuro-evolutionary methods for the automatic off-line design of robot swarms.Nature communications · 2021Article
- Off-Policy Evaluation of the Performance of a Robot Swarm: Importance Sampling to Assess Potential Modifications to the Finite-State Machine That Controls the Robots.Frontiers in robotics and AI · 2021Article
- A Survey on Swarming With Micro Air Vehicles: Fundamental Challenges and Constraints.Frontiers in robotics and AI · 2020Review
- Automatic Off-Line Design of Robot Swarms: A Manifesto.Frontiers in robotics and AI · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This article provides an overview of evolutionary robotics techniques applied to online distributed evolution for robot collectives, namely, embodied evolution. It provides a definition of embodied evolution as well as a thorough description of the underlying concepts and mechanisms. This article also presents a comprehensive summary of research published in the field since its inception around the year 2000, providing various perspectives to identify the major trends. In particular, we identify a shift from considering embodied evolution as a parallel search method within small robot collectives (fewer than 10 robots) to embodied evolution as an online distributed learning method for designing collective behaviors in swarm-like collectives. This article concludes with a discussion of applications and open questions, providing a milestone for past and an inspiration for future research.
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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.