DocumentCode
716397
Title
Observability in topology-constrained multi-robot target tracking
Author
Williams, Ryan K. ; Sukhatme, Gaurav S.
Author_Institution
Depts. of Electr. Eng. & Comput. Sci., Univ. of Southern California, Los Angeles, CA, USA
fYear
2015
fDate
26-30 May 2015
Firstpage
1795
Lastpage
1801
Abstract
In this paper, we consider the problem of controlling a multi-robot team in order to track a mobile target with unknown dynamics. Our contribution in this context is a non-linear observability analysis of the target tracking network, which yields insights into the topological and actuation conditions necessary for the underlying state estimation problem. We demonstrate a metric of observability which allows us to determine robot inputs that maximize observability to improve team localization. Combining the observability metric with topological control then yields a robust target tracking solution. We close the paper with a simulation example which demonstrates the ability of our solution to cope with scenarios in which relative measurements poorly distinguish the target.
Keywords
mobile robots; multi-robot systems; observability; state estimation; target tracking; topology; actuation condition; mobile target tracking; multirobot team control; nonlinear observability analysis; observability metric; state estimation problem; team localization; topological condition; topological control; topology-constrained multirobot target tracking; Estimation; Observability; Robot sensing systems; Target tracking;
fLanguage
English
Publisher
ieee
Conference_Titel
Robotics and Automation (ICRA), 2015 IEEE International Conference on
Conference_Location
Seattle, WA
Type
conf
DOI
10.1109/ICRA.2015.7139431
Filename
7139431
Link To Document