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
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;
Conference_Titel :
Robotics and Automation (ICRA), 2015 IEEE International Conference on
Conference_Location :
Seattle, WA
DOI :
10.1109/ICRA.2015.7139431