Open Access

General detection model in cooperative multirobot localization

  • Valguima Victoria Viana Aguiar Odakura1,
  • Reinaldo Augusto da Costa Bianchi2 and
  • Anna Helena Reali Costa3
Journal of the Brazilian Computer Society15:BF03194504

Received: 7 July 2009

Accepted: 27 August 2009


The cooperative multirobot localization problem consists in localizing each robot in a group within the same environment, when robots share information in order to improve localization accuracy. It can be achieved when a robot detects and identifies another one, and measures their relative distance. At this moment, both robots can use detection information to update their own poses beliefs. However some other useful information besides single detection between a pair of robots can be used to update robots poses beliefs as: propagation of a single detection for non participants robots, absence of detections and detection involving more than a pair of robots. A general detection model is proposed in order to aggregate all detection information, addressing the problem of updating poses beliefs in all situations depicted. Experimental results in simulated environment with groups of robots show that the proposed model improves localization accuracy when compared to conventional single detection multirobot localization.


multirobotprobabilistic localizationdetection model