This work presents a review and discussion of the challenges that must be solved in order to
successfully develop swarms of Micro Air Vehicles (MAVs) for real world operations. From …

This paper presents a framework for collaborative localization and map** with multiple
Micro Aerial Vehicles (MAVs) in unknown environments. Each MAV estimates its motion …

Multiagent systems have been a major area of research for the last 15 years. This interest
has been motivated by tasks that can be executed more rapidly in a collaborative manner or …

Multirobot simultaneous localization and map** (SLAM) requires technical ingredients
such as systematic construction of multiple SLAM systems and collection of information from …

In this paper we address the problem of controlling the motion of a group of unmanned
aerial vehicles (UAVs) bound to keep a formation defined in terms of only relative angles (ie …

Mutual localization is essential for coordination and cooperation in multi-robot systems.
Previous works have tackled this problem by assuming available correspondences between …

This work considers the problem of estimating the unscaled relative positions of a multi-robot
team in a common reference frame from bearing-only measurements. Each robot has …

We propose a decentralized method to perform mutual localization in multi-robot systems
using anonymous relative measurements, ie measurements that do not include the identity …

In this paper, an optimization based method is used for relative localization and relative
trajectory tracking control in Multi-Robot Systems (MRS's). In this framework, one or more …

In this paper, we investigate how relative measurements between fixed wing unmanned
aerial vehicles (UAVs) and known landmarks can be used to cooperatively localize UAVs …