Instinct: A biologically inspired reactive planner for intelligent embedded systems
dc.contributor.author | Wortham, RH | |
dc.contributor.author | Gaudl, Swen | |
dc.contributor.author | Bryson, JJ | |
dc.date.accessioned | 2019-10-30T10:26:44Z | |
dc.date.available | 2019-10-30T10:26:44Z | |
dc.date.issued | 2018-11-02 | |
dc.identifier.issn | 1389-0417 | |
dc.identifier.issn | 1389-0417 | |
dc.identifier.uri | http://hdl.handle.net/10026.1/15085 | |
dc.description.abstract |
The Instinct Planner is a new biologically inspired reactive planner, based on an established behaviour based robotics methodology and its reactive planner component — the POSH planner implementation. It includes several significant enhancements that facilitate plan design and runtime debugging. It has been specifically designed for low power processors and has a tiny memory footprint. Written in C++, it runs efficiently on both ARDUINO (ATMEL AVR) and MICROSOFT VC++ environments and has been deployed within a low cost maker robot to study AI Transparency. Plans may be authored using a variety of tools including a new visual design language, currently implemented using the DIA drawing package. | |
dc.format.extent | 207-215 | |
dc.language | en | |
dc.language.iso | en | |
dc.publisher | Elsevier | |
dc.rights | Attribution-NonCommercial 4.0 International | |
dc.rights | Attribution-NonCommercial 4.0 International | |
dc.rights | Attribution-NonCommercial 4.0 International | |
dc.rights | Attribution-NonCommercial 4.0 International | |
dc.rights | Attribution-NonCommercial 4.0 International | |
dc.rights.uri | http://creativecommons.org/licenses/by-nc/4.0/ | |
dc.rights.uri | http://creativecommons.org/licenses/by-nc/4.0/ | |
dc.rights.uri | http://creativecommons.org/licenses/by-nc/4.0/ | |
dc.rights.uri | http://creativecommons.org/licenses/by-nc/4.0/ | |
dc.rights.uri | http://creativecommons.org/licenses/by-nc/4.0/ | |
dc.subject | Reactive planning | |
dc.subject | Instinct | |
dc.subject | Arduino | |
dc.subject | POSH | |
dc.subject | BOD | |
dc.subject | Bio-inspired | |
dc.title | Instinct: A biologically inspired reactive planner for intelligent embedded systems | |
dc.type | journal-article | |
dc.type | Journal Article | |
plymouth.author-url | https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000470116200023&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=11bb513d99f797142bcfeffcc58ea008 | |
plymouth.volume | 57 | |
plymouth.publication-status | Published | |
plymouth.journal | Cognitive Systems Research | |
dc.identifier.doi | 10.1016/j.cogsys.2018.10.016 | |
plymouth.organisational-group | /Plymouth | |
plymouth.organisational-group | /Plymouth/Faculty of Science and Engineering | |
plymouth.organisational-group | /Plymouth/Faculty of Science and Engineering/School of Engineering, Computing and Mathematics | |
plymouth.organisational-group | /Plymouth/REF 2021 Researchers by UoA | |
plymouth.organisational-group | /Plymouth/REF 2021 Researchers by UoA/UoA11 Computer Science and Informatics | |
plymouth.organisational-group | /Plymouth/Users by role | |
plymouth.organisational-group | /Plymouth/Users by role/Academics | |
dcterms.dateAccepted | 2018-10-06 | |
dc.rights.embargodate | 9999-12-31 | |
dc.identifier.eissn | 1389-0417 | |
dc.rights.embargoperiod | Not known | |
rioxxterms.versionofrecord | 10.1016/j.cogsys.2018.10.016 | |
rioxxterms.licenseref.uri | http://creativecommons.org/licenses/by-nc/4.0/ | |
rioxxterms.licenseref.startdate | 2018-11-02 | |
rioxxterms.type | Journal Article/Review |