Improving Social Odometry Robot Networks with Distributed Reputation Systems for Collaborative Purposes

Sensors

David Fraga³  Álvaro Gutiérrez²  Juan Carlos Vallejo³  Alexandre Campo¹ 

[1] IRIDIA, CoDE, Université Libre de Bruxelles, Av. F. Roosevelt, 50, CP 194/6, 1050 Brussels, Belgium; E-Mail:;Tecnologías Especiales Aplicadas a la Telecomunicación, ETSI Telecomunicación, Universidad Politécnica de Madrid, Av. Complutense, 30, 28040 Madrid, Spain; E-Mail:;Departamento de Ingeniería electrónica, ETSI Telecomunicación, Universidad Politécnica de Madrid, Av. Complutense, 30, 28040 Madrid, Spain; E-Mails:

关键词: collaborative robots;    robot networks;    social odometry;    collective decision;    reputation systems;    trust algorithms;    unsupervised techniques;   

DOI  :  10.3390/s111211372

来源: mdpi

【 摘 要 】

The improvement of odometry systems in collaborative robotics remains an important challenge for several applications. Social odometry is a social technique which confers the robots the possibility to learn from the others. This paper analyzes social odometry and proposes and follows a methodology to improve its behavior based on cooperative reputation systems. We also provide a reference implementation that allows us to compare the performance of the proposed solution in highly dynamic environments with the performance of standard social odometry techniques. Simulation results quantitatively show the benefits of this collaborative approach that allows us to achieve better performances than social odometry.

【 授权许可】

CC BY   
© 2011 by the authors; licensee MDPI, Basel, Switzerland.