With the development of emerging science and technology, service robots have attracted
more attention from scholars. However, it is still lack of comprehensive analysis of these …

We present an approach for estimating a mobile robot's pose wrt the allocentric coordinates
of a network of static cameras using multi-view RGB images. The images are processed …

This study presents a new technique to improve the indoor localization of a mobile node by
utilizing a Zigbee-based received-signal-strength indicator (RSSI) and odometry. As both …

Industry 4.0 applications rely on mobile robotic agents that execute many complex tasks that
have strict safety and time requirements. Under this setting, the Edge Computing service …

Machine learning has been successfully used for target localization in wireless sensor
networks (WSNs) due to its accurate and robust estimation against highly nonlinear and …

The evolution of the Industrial Internet of Things (IIoT) and edge computing enables
resource-constrained mobile robots to offload the computationally intensive localization …

In this paper we tackle the problem of indoor robot localization by using a vision-based
approach. Specifically, we propose a visual odometer able to give back the relative pose of …

A method for infrared and cameras sensor fusion, applied to indoor positioning in intelligent
spaces, is proposed in this work. The fused position is obtained with a maximum likelihood …

This paper describes an intelligent space, whose objective is to localize and control robots
or robotic wheelchairs to help people. Such an intelligent space has 11 cameras distributed …

In this paper we deal with the problem of map building and localization of a mobile robot in
an environment using the information provided by an omnidirectional vision sensor that is …