DocumentCode
2181792
Title
Exploring heterogeneity for cooperative localization in Swarm Robotics
Author
Pires, Anderson Grandi ; Macharet, Douglas G. ; Chaimowicz, Luiz
Author_Institution
Computer Vision and Robotics Laboratory (VeRLab), Computer Science Department, Universidade Federal de Minas Gerais (UFMG), Brazil
fYear
2015
fDate
27-31 July 2015
Firstpage
407
Lastpage
414
Abstract
Cooperative localization allows groups of robots to improve their overall localization by sharing position estimates within the team. In Swarm Robotics a large number of very simple agents is used to perform different types of tasks, however, this simplicity may have a direct impact on the estimated localization. In this work, we consider the use of a single robot (leader) with improved localization capability (e.g. GPS) which will be used to enhance the position estimates of the rest of the group. By using a potential function, we are able to place the leader in the region (near the center) that best benefits its position broadcasting and also to execute a coordinated and continuous movement of the entire group by controlling only this unity. Numerous trials in a simulated environment were executed, providing statistical examination of the final results.
Keywords
Global Positioning System; Robot kinematics; Robot sensing systems; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Robotics (ICAR), 2015 International Conference on
Conference_Location
Istanbul, Turkey
Type
conf
DOI
10.1109/ICAR.2015.7251488
Filename
7251488
Link To Document