Obstacles Avoidance for Mobile Robot Using Enhanced Artificial Potential Field
In this paper, an enhanced artificial potential field (EAPF) planner is introduced. This planner is proposed to rapidly find online solutions for the mobile robot path planning problems, when the underlying environment contains obstacles with unknown locations and sizes. The classical artificial pot...
Guardado en:
Autores principales: | Mohamed Jasim Mohamed, Mustaffa Waad Abbas |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Al-Khwarizmi College of Engineering – University of Baghdad
2017
|
Materias: | |
Acceso en línea: | https://doaj.org/article/e499fd3342b340da9049311d9361df64 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Obstacles Avoidance for Mobile Robot Using Enhanced Artificial Potential Field
por: Mustaffa Waad Abbas, et al.
Publicado: (2013) -
Guiding Mobile Robot by Applying Fuzzy Approach on Sonar Sensors
por: Ahmed Rahman Jasim, et al.
Publicado: (2010) -
A Real-Time Collision Avoidance Strategy in Dynamic Airspace Based on Dynamic Artificial Potential Field Algorithm
por: Yanshuang Du, et al.
Publicado: (2019) -
Path Planning of an autonomous Mobile Robot using Swarm Based Optimization Techniques
por: Ibraheem Kasim Ibraheem, et al.
Publicado: (2017) -
Review of UAV Obstacle Avoidance Algorithms
por: Zhang Honghong, Gan Xusheng, Mao Yi, Yang Chunlin, Xie Xiaowei
Publicado: (2021)