Multiobjective problem to find paths through swarm robotics

Rebeca Solis-Ortega, Cindy Calderon-Arce

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

2 Citas (Scopus)

Resumen

In this paper, we present a scheme to solve the problem to explore, cover and define paths in dangerous environments. The proposal is organized in three phases: exploration, mapping and path planning. Swarm robotics is used in the first phase along with a stigmergy approach for the communication between the agents. The explored cell will be stored in order to create a grid map. In the path planning phase, a multiobjective problem is used to minimize distance and danger, through a graph obtained by an adapted RRG, and a genetic algorithm called modified NSGA-II.

Idioma originalInglés
Título de la publicación alojadaProceedings of 2019 3rd International Conference on Automation, Control and Robots, ICACR 2019
EditorialAssociation for Computing Machinery
ISBN (versión digital)9781450372886
DOI
EstadoPublicada - 11 oct 2019
Evento3rd International Conference on Automation, Control and Robots, ICACR 2019 - Prague, República Checa
Duración: 11 oct 201913 oct 2019

Serie de la publicación

NombreACM International Conference Proceeding Series

Conferencia

Conferencia3rd International Conference on Automation, Control and Robots, ICACR 2019
País/TerritorioRepública Checa
CiudadPrague
Período11/10/1913/10/19

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