Social Odometry: Imitation Based Odometry in Collective Robotics | Zendy

Álvaro Gutiérrez | Zendy; Alexandre Campo | Zendy; Francisco C. Santos | Zendy; Félix Monasterio-Huelin | Zendy; Marco Dorigo | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Social Odometry: Imitation Based Odometry in Collective Robotics

Author(s) -

Álvaro Gutiérrez,

Alexandre Campo,

Francisco C. Santos,

Félix Monasterio-Huelin,

Marco Dorigo

Publication year - 2009

Publication title -

international journal of advanced robotic systems

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.394

H-Index - 46

eISSN - 1729-8814

pISSN - 1729-8806

DOI - 10.5772/6794

Subject(s) - odometry , robot , robotics , artificial intelligence , computer science , visual odometry , imitation , constraint (computer aided design) , social robot , computer vision , mobile robot , human–computer interaction , robot control , mathematics , psychology , geometry , social psychology

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

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research