Plant Bioinspired Ecological Robotics
dc.contributor.author | Frazier, PA | en_US |
dc.contributor.author | Jamone, L | en_US |
dc.contributor.author | Althoefer, K | en_US |
dc.contributor.author | Calvo, P | en_US |
dc.date.accessioned | 2020-10-14T13:46:50Z | |
dc.date.available | 2020-05-08 | en_US |
dc.date.issued | 2020-07-14 | en_US |
dc.identifier.issn | 2296-9144 | en_US |
dc.identifier.uri | https://qmro.qmul.ac.uk/xmlui/handle/123456789/67565 | |
dc.description.abstract | Plants are movers, but the nature of their movement differs dramatically from that of creatures that move their whole body from point A to point B. Plants grow to where they are going. Bio-inspired robotics sometimes emulates plants' growth-based movement; but growing is part of a broader system of movement guidance and control. We argue that ecological psychology's conception of “information” and “control” can simultaneously make sense of what it means for a plant to navigate its environment and provide a control scheme for the design of ecological plant-inspired robotics. In this effort, we will outline several control laws and give special consideration to the class of control laws identified by tau theory, such as time to contact. | en_US |
dc.publisher | Frontiers Media | en_US |
dc.relation.ispartof | Frontiers in Robotics and AI | en_US |
dc.rights | 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. | |
dc.rights | Attribution 3.0 United States | * |
dc.rights.uri | http://creativecommons.org/licenses/by/3.0/us/ | * |
dc.title | Plant Bioinspired Ecological Robotics | en_US |
dc.type | Article | |
dc.rights.holder | © 2020 Frazier, Jamone, Althoefer and Calvo. | |
dc.identifier.doi | 10.3389/frobt.2020.00079 | en_US |
pubs.notes | Not known | en_US |
pubs.publication-status | Published | en_US |
pubs.volume | 7 | en_US |
dcterms.dateAccepted | 2020-05-08 | en_US |
rioxxterms.funder | Default funder | en_US |
rioxxterms.identifier.project | Default project | en_US |
qmul.funder | National Centre for Nuclear Robotics::Engineering and Physical Sciences Research Council | en_US |
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Except where otherwise noted, this item's license is described as 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.