The rapid integration of the Internet of Things (IoT) into logistics and supply chain
management (SCM) marks a significant transformation towards enhanced efficiencies …

For robot swarm applications, accurate positioning is one of the most important requirements
for avoiding collisions and kee** formations and cooperation between individuals …

The ubiquity, large bandwidth, and spatial diversity of the fifth-generation (5G) cellular signal
render it a promising candidate for accurate positioning in indoor environments where the …

The pursuit of high-accuracy localization without relying on the global positioning system
(GPS) has gained significant interest in recent years. The deployment of autonomous …

Unmanned aerial vehicles (UAVs) have proven to be a key solution for nearly automated or
smart warehouse operations, enabling receiving, picking, storage, and ship** processes …

In many scenarios, unmanned aerial vehicles (UAVs), aka drones, need to have the
capability of autonomous flight to carry out their missions successfully. In order to fly …

This review paper provides a detailed overview of the advancements and identifies pivotal
challenges in the realm of autonomous load-carrying mobile robots, with a particular focus …

In this article, we propose an RFID-based simultaneous localization and map** (RF-
SLAM) method that allows us, for the first time, to estimate the robot's position and the tags' …

Indoor localization systems based on radio frequency identification (RFID) technologies are
widely adopted in the Internet of Things (IoT). Many of these applications prefer to obtain the …

This article presents the development and characterization of a system able to estimate the 2-
D relative position of nodes in a wireless network, based on the measurement of the …