Working Paper
memEAPF for Mobile Robot Path Planning on Jetson Platform
Autor
Orozco Rosas, Ulises
Picos, Kenia
Montemayor, Antonio
Pantrigo, Juan José
Cuesta-Infante, Alfredo
Institución
Resumen
In 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.