Cargando…
Modified Artificial Potential Field for the Path Planning of Aircraft Swarms in Three-Dimensional Environments
Path planning techniques are of major importance for the motion of autonomous systems. In addition, the chosen path, safety, and computational burden are essential for ensuring the successful application of such strategies in the presence of obstacles. In this context, this work introduces a modifie...
Autores principales: | Souza, Rafael Monteiro Jorge Alves, Lima, Gabriela Vieira, Morais, Aniel Silva, Oliveira-Lopes, Luís Cláudio, Ramos, Daniel Costa, Tofoli, Fernando Lessa |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8875449/ https://www.ncbi.nlm.nih.gov/pubmed/35214462 http://dx.doi.org/10.3390/s22041558 |
Ejemplares similares
-
Path planning and smoothing of mobile robot based on improved artificial fish swarm algorithm
por: Li, Fei-Fei, et al.
Publicado: (2022) -
Particle Swarm Algorithm Path-Planning Method for Mobile Robots Based on Artificial Potential Fields
por: Zheng, Li, et al.
Publicado: (2023) -
Coverage Path Planning and Point-of-Interest Detection Using Autonomous Drone Swarms
por: Bezas, Konstantinos, et al.
Publicado: (2022) -
Aircraft Fuselage Corrosion Detection Using Artificial Intelligence
por: Brandoli, Bruno, et al.
Publicado: (2021) -
A new multiple robot path planning algorithm: dynamic distributed particle swarm optimization
por: Ayari, Asma, et al.
Publicado: (2017)