In this article we present a unified approach for
multi-robot cooperative simultaneous localization and object
tracking based on particle filters. Our approach is scalable with
respect to the number of robots in the team. We introduce a
method that reduces, from an exponential to a linear growth,
the space and computation time requirements with respect to
the number of robots in order to maintain a given level of
accuracy in the full state estimation.