memEAPF for Mobile Robot Path Planning on Jetson Platform

dc.creatorOrozco Rosas, Ulises
dc.creatorPicos, Kenia
dc.creatorMontemayor, Antonio
dc.creatorPantrigo, Juan José
dc.creatorCuesta-Infante, Alfredo
dc.date.accessioned2022-10-05T17:25:07Z
dc.date.available2022-10-05T17:25:07Z
dc.date.created2022-10-05T17:25:07Z
dc.date.issued2020-03
dc.identifierhttps://repositorio.cetys.mx/handle/60000/1476
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.
dc.languageen_US
dc.rightshttp://creativecommons.org/licenses/by-nc-sa/2.5/mx/
dc.rightsAtribución-NoComercial-CompartirIgual 2.5 México
dc.subjectMobile robot path
dc.subjectAlgorithms
dc.titlememEAPF for Mobile Robot Path Planning on Jetson Platform
dc.typeWorking Paper


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