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Phenotypic Plasticity Provides a Bioinspiration Framework for Minimal Field Swarm Robotics
The real world is highly variable and unpredictable, and so fine-tuned robot controllers that successfully result in group-level “emergence” of swarm capabilities indoors may quickly become inadequate outside. One response to unpredictability could be greater robot complexity and cost, but this seem...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2020
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7805735/ https://www.ncbi.nlm.nih.gov/pubmed/33501192 http://dx.doi.org/10.3389/frobt.2020.00023 |
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author | Hunt, Edmund R. |
author_facet | Hunt, Edmund R. |
author_sort | Hunt, Edmund R. |
collection | PubMed |
description | The real world is highly variable and unpredictable, and so fine-tuned robot controllers that successfully result in group-level “emergence” of swarm capabilities indoors may quickly become inadequate outside. One response to unpredictability could be greater robot complexity and cost, but this seems counter to the “swarm philosophy” of deploying (very) large numbers of simple agents. Instead, here I argue that bioinspiration in swarm robotics has considerable untapped potential in relation to the phenomenon of phenotypic plasticity: when a genotype can produce a range of distinctive changes in organismal behavior, physiology and morphology in response to different environments. This commonly arises following a natural history of variable conditions; implying the need for more diverse and hazardous simulated environments in offline, pre-deployment optimization of swarms. This will generate—indicate the need for—plasticity. Biological plasticity is sometimes irreversible; yet this characteristic remains relevant in the context of minimal swarms, where robots may become mass-producible. Plasticity can be introduced through the greater use of adaptive threshold-based behaviors; more fundamentally, it can link to emerging technologies such as smart materials, which can adapt form and function to environmental conditions. Moreover, in social animals, individual heterogeneity is increasingly recognized as functional for the group. Phenotypic plasticity can provide meaningful diversity “for free” based on early, local sensory experience, contributing toward better collective decision-making and resistance against adversarial agents, for example. Nature has already solved the challenge of resilient self-organisation in the physical realm through phenotypic plasticity: swarm engineers can follow this lead. |
format | Online Article Text |
id | pubmed-7805735 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-78057352021-01-25 Phenotypic Plasticity Provides a Bioinspiration Framework for Minimal Field Swarm Robotics Hunt, Edmund R. Front Robot AI Robotics and AI The real world is highly variable and unpredictable, and so fine-tuned robot controllers that successfully result in group-level “emergence” of swarm capabilities indoors may quickly become inadequate outside. One response to unpredictability could be greater robot complexity and cost, but this seems counter to the “swarm philosophy” of deploying (very) large numbers of simple agents. Instead, here I argue that bioinspiration in swarm robotics has considerable untapped potential in relation to the phenomenon of phenotypic plasticity: when a genotype can produce a range of distinctive changes in organismal behavior, physiology and morphology in response to different environments. This commonly arises following a natural history of variable conditions; implying the need for more diverse and hazardous simulated environments in offline, pre-deployment optimization of swarms. This will generate—indicate the need for—plasticity. Biological plasticity is sometimes irreversible; yet this characteristic remains relevant in the context of minimal swarms, where robots may become mass-producible. Plasticity can be introduced through the greater use of adaptive threshold-based behaviors; more fundamentally, it can link to emerging technologies such as smart materials, which can adapt form and function to environmental conditions. Moreover, in social animals, individual heterogeneity is increasingly recognized as functional for the group. Phenotypic plasticity can provide meaningful diversity “for free” based on early, local sensory experience, contributing toward better collective decision-making and resistance against adversarial agents, for example. Nature has already solved the challenge of resilient self-organisation in the physical realm through phenotypic plasticity: swarm engineers can follow this lead. Frontiers Media S.A. 2020-03-16 /pmc/articles/PMC7805735/ /pubmed/33501192 http://dx.doi.org/10.3389/frobt.2020.00023 Text en Copyright © 2020 Hunt. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Robotics and AI Hunt, Edmund R. Phenotypic Plasticity Provides a Bioinspiration Framework for Minimal Field Swarm Robotics |
title | Phenotypic Plasticity Provides a Bioinspiration Framework for Minimal Field Swarm Robotics |
title_full | Phenotypic Plasticity Provides a Bioinspiration Framework for Minimal Field Swarm Robotics |
title_fullStr | Phenotypic Plasticity Provides a Bioinspiration Framework for Minimal Field Swarm Robotics |
title_full_unstemmed | Phenotypic Plasticity Provides a Bioinspiration Framework for Minimal Field Swarm Robotics |
title_short | Phenotypic Plasticity Provides a Bioinspiration Framework for Minimal Field Swarm Robotics |
title_sort | phenotypic plasticity provides a bioinspiration framework for minimal field swarm robotics |
topic | Robotics and AI |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7805735/ https://www.ncbi.nlm.nih.gov/pubmed/33501192 http://dx.doi.org/10.3389/frobt.2020.00023 |
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