For a network of robots working in a specific environment, relative localization among robots
is the basis for accomplishing various upper-level tasks. To avoid the latency and fragility of …

In multi-robot systems, two important research problems are relative localization between
the robots and global localization of all robots in a common frame. Traditional methods rely …

In this article, we study the problem of estimating the four-degree-of-freedom (3-D position
and heading) robot-to-robot relative frame transformation using onboard odometry and …

We present a range-based solution for indoor relative localization by micro air vehicles
(MAVs), achieving sufficient accuracy for leader–follower flight. Moving forward from …

Swarm robotics is a fast-growing field of research in recent years. As studies count
increases, the terminology requires a revision in order to provide a proper level of unification …

Abstract To avoid collisions, Micro Air Vehicles (MAVs) flying in teams require estimates of
their relative locations, preferably with minimal mass and processing burden. We present a …

Many applications related to the Internet of Things, such as tracking people or objects,
robotics, and monitoring require the localization of large networks of devices in dynamic …

The relative position and orientation estimation is one of the most fundamental components
for multi-robot systems, while it still remains an open and challenging research topic in …

Euclidean distance matrices (EDMs) are a major tool for localization from distances, with
applications ranging from protein structure determination to global positioning and manifold …

Robotics have experienced a meteoric growth over the last decades, reaching
unprecedented levels of distributed intelligence and self-autonomy. Today, a myriad of real …