SciELO - Scientific Electronic Library Online

 
vol.19 número45Metodología para la formulación de proyectos basada en la definición del problemaParámetros de configuración en módulos XBEE-PRO® S2B ZB para medición de variables ambientales índice de autoresíndice de materiabúsqueda de artículos
Home Pagelista alfabética de revistas  

Servicios Personalizados

Revista

Articulo

Indicadores

Links relacionados

  • En proceso de indezaciónCitado por Google
  • No hay articulos similaresSimilares en SciELO
  • En proceso de indezaciónSimilares en Google

Compartir


Tecnura

versión impresa ISSN 0123-921X

Resumen

VARGAS TORRES, Germán Andrés  y  CASTILLO ESTEPA, Ricardo Andrés. Development of an Algorithm for Humanoid Robot Detection & Command in Gathering Tasks. Tecnura [online]. 2015, vol.19, n.45, pp.127-139. ISSN 0123-921X.  https://doi.org/10.14483/udistrital.jour.tecnura.2015.3.a10.

This article presents an algorithm which commands a group of Bioloid humanoid robots in order to organize them around an object of interest, previously detected by an external vision system. The robots form a Multi-Agent System (MAS) oriented towards cooperative gathering tasks. Development of the MAS, as well as each of the organization algorithm's components and simulation inside a virtual environment, are all detailed. The algorithm is subdivided in two dedicated threads: one of which handles machine vision (filtering, contour detection and classification achieved through EmguCV libraries) and operational space calculations; while the other operates ZigBee wireless communication with the robots. Furthermore, the robots possess their own embedded code which enables them to translate a sequence of received instructions into gait patterns which allow them to move towards the object of interest. Total execution time for the gathering task is chosen as the global performance measure to evaluate.

Palabras clave : computer simulation; humanoid robots; Multi-Agent Systems; robot control; robot vision systems.

        · resumen en Español     · texto en Español     · Español ( pdf )