Literature DB >> 33501192

Phenotypic Plasticity Provides a Bioinspiration Framework for Minimal Field Swarm Robotics.

Edmund R Hunt1,2.   

Abstract

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.
Copyright © 2020 Hunt.

Entities:  

Keywords:  minimal robotics; phenotypic plasticity; reaction norms; resilience; swarm diversity; swarm robotics

Year:  2020        PMID: 33501192      PMCID: PMC7805735          DOI: 10.3389/frobt.2020.00023

Source DB:  PubMed          Journal:  Front Robot AI        ISSN: 2296-9144


  47 in total

1.  Behavioural reaction norms: animal personality meets individual plasticity.

Authors:  Niels J Dingemanse; Anahita J N Kazem; Denis Réale; Jonathan Wright
Journal:  Trends Ecol Evol       Date:  2009-09-11       Impact factor: 17.712

2.  Variability in individual assessment behaviour and its implications for collective decision-making.

Authors:  Thomas A O'Shea-Wheller; Naoki Masuda; Ana B Sendova-Franks; Nigel R Franks
Journal:  Proc Biol Sci       Date:  2017-02-08       Impact factor: 5.349

Review 3.  Naturally clonal vertebrates are an untapped resource in ecology and evolution research.

Authors:  Kate L Laskowski; Carolina Doran; David Bierbach; Jens Krause; Max Wolf
Journal:  Nat Ecol Evol       Date:  2019-01-28       Impact factor: 15.460

Review 4.  Soft robotics: a bioinspired evolution in robotics.

Authors:  Sangbae Kim; Cecilia Laschi; Barry Trimmer
Journal:  Trends Biotechnol       Date:  2013-04-12       Impact factor: 19.536

5.  Autonomous task sequencing in a robot swarm.

Authors:  Lorenzo Garattoni; Mauro Birattari
Journal:  Sci Robot       Date:  2018-07-18

6.  Minimal navigation solution for a swarm of tiny flying robots to explore an unknown environment.

Authors:  K N McGuire; C De Wagter; K Tuyls; H J Kappen; G C H E de Croon
Journal:  Sci Robot       Date:  2019-10-23

7.  Computational model of collective nest selection by ants with heterogeneous acceptance thresholds.

Authors:  Naoki Masuda; Thomas A O'shea-Wheller; Carolina Doran; Nigel R Franks
Journal:  R Soc Open Sci       Date:  2015-06-09       Impact factor: 2.963

8.  Evolution of Collective Behaviors for a Real Swarm of Aquatic Surface Robots.

Authors:  Miguel Duarte; Vasco Costa; Jorge Gomes; Tiago Rodrigues; Fernando Silva; Sancho Moura Oliveira; Anders Lyhne Christensen
Journal:  PLoS One       Date:  2016-03-21       Impact factor: 3.240

9.  Physiological plasticity in a successful invader: rapid acclimation to cold occurs only in cool-climate populations of cane toads (Rhinella marina).

Authors:  Samantha M McCann; Georgia K Kosmala; Matthew J Greenlees; Richard Shine
Journal:  Conserv Physiol       Date:  2018-01-23       Impact factor: 3.079

10.  Testing the limits of pheromone stigmergy in high-density robot swarms.

Authors:  Edmund R Hunt; Simon Jones; Sabine Hauert
Journal:  R Soc Open Sci       Date:  2019-11-06       Impact factor: 2.963

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  1 in total

1.  Open-source computational simulation of moth-inspired navigation algorithm: A benchmark framework.

Authors:  Yiftach Golov; Noam Benelli; Roi Gurka; Ally Harari; Gregory Zilman; Alex Liberzon
Journal:  MethodsX       Date:  2021-09-27
  1 in total

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