memEAPF for Mobile Robot Path Planning on Jetson Platform

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dc.contributor.authorOrozco Rosas, Ulises
dc.contributor.authorPicos, Kenia
dc.contributor.authorMontemayor, Antonio
dc.contributor.authorPantrigo, Juan José
dc.contributor.authorCuesta-Infante, Alfredo
dc.coverage.spatialSan José, Californiaes_ES
dc.date.accessioned2022-10-05T17:25:07Z
dc.date.available2022-10-05T17:25:07Z
dc.date.issued2020-03
dc.description.abstractIn this work, a parallel implementation on the NVIDIA Jetson TX2 of the membrane evolutionary artificial potential field (memEAPF) algorithm for mobile robot path planning is presented. The memEAPF algorithm is employed to achieve feasible paths, considering minimum path length, safety, and smoothness.es_ES
dc.description.urlhttps://www.researchgate.net/publication/340395067_memEAPF_for_Mobile_Robot_Path_Planning_on_Jetson_Platformes_ES
dc.identifier.urihttps://repositorio.cetys.mx/handle/60000/1476
dc.language.isoen_USes_ES
dc.rightsAtribución-NoComercial-CompartirIgual 2.5 México*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/2.5/mx/*
dc.subjectMobile robot pathes_ES
dc.subjectAlgorithmses_ES
dc.subject.sedeCampus Tijuanaes_ES
dc.titlememEAPF for Mobile Robot Path Planning on Jetson Platformes_ES
dc.typeWorking Paperes_ES

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