Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Pedro Bautista-Camino"'
Autor:
Pedro Bautista-Camino, Alejandro I. Barranco-Gutiérrez, Ilse Cervantes, Martin Rodríguez-Licea, Juan Prado-Olivarez, Francisco J. Pérez-Pinal
Publikováno v:
Energies, Vol 15, Iss 5, p 1769 (2022)
Local path planning is a key task for the motion planners of autonomous vehicles since it commands the vehicle across its environment while avoiding any obstacles. To perform this task, the local path planner generates a trajectory and a velocity pro
Externí odkaz:
https://doaj.org/article/f3483b1a10954b08927910ecec0b863f
Autor:
Francisco Perez-Pinal, Pedro Bautista-Camino, Martín Antonio Rodríguez Licea, Ilse Cervantes, Juan Prado Olivarez, Alejandro-Israel Barranco-Gutierrez
Publikováno v:
Energies; Volume 15; Issue 5; Pages: 1769
Local path planning is a key task for the motion planners of autonomous vehicles since it commands the vehicle across its environment while avoiding any obstacles. To perform this task, the local path planner generates a trajectory and a velocity pro
Autor:
Ibsan U. Castillo-Zamora, Martin A. Rodriguez-Licea, Pedro Bautista-Camino, Francisco J. Perez-Pinal
Publikováno v:
2019 IEEE Transportation Electrification Conference and Expo (ITEC).
This paper introduces a way of planning the path for autonomous electric vehicles (AEV)or robots using attractors dynamics through a numeric optimization problem, which is solved by a meta-heuristic algorithm called differential evolution (DE). The i
Autor:
Pedro Bautista-Camino, Edgar Alfredo Portilla-Flores, Eric Santiago-Valentín, Adrián Solano-Palma, Jose Marco Antonio Rueda-Melendez
Publikováno v:
Research in Computing Science. 91:117-130
Resumen. En este trabajo se presenta una solucion novedosa para el diseno optimo de un efector final tipo pinza, para la transmision de fuerza constante en su espacio de trabajo o agarre. Para tal fin se propone un problema de optimizacion numerica c