Mobile robot path planning in complex environments using ant colony optimization algorithm

Ronald Uriol, Antonio Moran Cardenas

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

20 Citas (Scopus)


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.
Idioma originalEspañol
Título de la publicación alojada2017 3rd International Conference on Control, Automation and Robotics, ICCAR 2017
Número de páginas7
EstadoPublicada - 7 jun. 2017
Publicado de forma externa

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