Servicios Personalizados
Revista
Articulo
Indicadores
- Citado por SciELO
- Accesos
Links relacionados
- Citado por Google
- Similares en SciELO
- Similares en Google
Compartir
Tecnura
versión impresa ISSN 0123-921X
Resumen
GOMEZ, Edwar Jacinto; GIRAL, Mauricio y MARTINEZ SARMIENTO, Fredy Hernán. Collective Multi-Agent Navigation Model Based on Bacterial Quorum Sensing. Tecnura [online]. 2016, vol.20, n.47, pp.29-38. ISSN 0123-921X. https://doi.org/10.14483/udistrital.jour.tecnura.2016.1.a02.
We present a model for the study, analysis, design and evaluation of collective multi-agent navigation for autonomous robots based on behaviors observed in bacteria. The system consists of a set of simple agents (artificial bacteria), which through readings and local interaction are self-organized to navigate along the environment. Given the parallel structure, also happens to be a very robust solution. We show the basic structure proposal for the design abstracting the characteristics of the biological model, together with an analysis of stability and convergence.
Palabras clave : collective navigation; intensity gradient; quorum sensing.