Skip to content
Free planNo credit card requiredStart writing

article · 2009

Social Odometry : Imitation Based Odometry

Álvaro Gutiérrez, Re Campo, Francisco C. Santos, Félix Monasterio-huelin, Marco Dorigo

Cited by 0Abstract and details only

Abstract

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.

Cite this paper

APA 7

Gutiérrez, Á., Campo, R., Santos, F. C., Monasterio-huelin, F., & Dorigo, M. (2009). Social Odometry : Imitation Based Odometry.

MLA 9

Gutiérrez, Álvaro, et al. “Social Odometry : Imitation Based Odometry.” 2009.

Chicago

Gutiérrez, Álvaro, Re Campo, Francisco C. Santos, Félix Monasterio-huelin, and Marco Dorigo. 2009. “Social Odometry : Imitation Based Odometry.”

Harvard

Gutiérrez, Á. et al. (2009) ‘Social Odometry : Imitation Based Odometry’.

BibTeX
@article{gutierrez2009social,
  title = {{Social Odometry : Imitation Based Odometry}},
  author = {Gutiérrez, Álvaro and Campo, Re and Santos, Francisco C. and Monasterio-huelin, Félix and Dorigo, Marco},
  year = {2009}
}

Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.