Social Odometry: Imitation Based Odometry in Collective Robotics

Gutiérrez Martín, Álvaro and Campo, Alexandre and Santos, Francisco C. and Monasterio-Huelin Maciá, Felix and Dorigo, Marco (2009). Social Odometry: Imitation Based Odometry in Collective Robotics. "International Journal of Advanced Robotic Systems", v. 6 (n. 2); pp. 129-136. ISSN 1729-8806.

Description

Title: Social Odometry: Imitation Based Odometry in Collective Robotics
Author/s:
  • Gutiérrez Martín, Álvaro
  • Campo, Alexandre
  • Santos, Francisco C.
  • Monasterio-Huelin Maciá, Felix
  • Dorigo, Marco
Item Type: Article
Título de Revista/Publicación: International Journal of Advanced Robotic Systems
Date: June 2009
ISSN: 1729-8806
Volume: 6
Subjects:
Freetext Keywords: Social odometry, foraging, local communication, range and bearing
Faculty: E.T.S.I. Telecomunicación (UPM)
Department: Tecnologías Especiales Aplicadas a la Aeronáutica [hasta 2014]
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

The improvement of odometry systems in collective robotics remains an important challenge for several applications. Social odometry is an online social dynamics which confers the robots the possibility to learn from the others. Robots neither share any movement constraint nor access to centralized information. Each robot has an estimate of its own location and an associated confidence level that decreases with distance traveled. Social odometry guides a robot to its goal by imitating estimated locations, confidence levels and actual locations of its neighbors. This simple online social form of odometry is shown to produce a self-organized collective pattern which allows a group of robots to both increase the quality of individuals’ estimates and efficiently improve their collective performance

More information

Item ID: 5385
DC Identifier: https://oa.upm.es/5385/
OAI Identifier: oai:oa.upm.es:5385
Official URL: http://www.ars-journal.com/
Deposited by: Memoria Investigacion
Deposited on: 09 Dec 2010 12:08
Last Modified: 20 Apr 2016 14:12
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