Publicación:
Mobile Robot Path Planning in Complex Environments Using Ant Colony Optimization Algorithm

No hay miniatura disponible
Fecha
2017
Autores
Uriol, R
Moran, A
Título de la revista
Revista ISSN
Título del volumen
Editor
International Conference on Control, Automation and Robotics (ICCAR)
Proyectos de investigación
Unidades organizativas
Número de la revista
Abstracto
Ant Colony Optimization (ACO) algorithm has been applied to solve the path planning problem of mobile robot in complex environments. The algorithm parameters have been analysed and tuned for different working areas with obstacles in different number, sizes and shapes. Also, the performance of ACO algorithm was tested for different resolutions of working area representations. In all cases, it was possible to find optimal or near-optimal minimum-length paths from the initial to final desired positions without collision with obstacles or wall-borders.
Descripción
Palabras clave
path planning, ant colony optimization, mobile robots
Citación