This paper proposes a novel multi-sensor-based indoor global localization system
integrating visual localization aided by CNN-based image retrieval with a probabilistic …

For the last three years, we have developed and researched multiple collaborative robots,
CoBots, which have been autonomously traversing our multi-floor buildings. We pursue the …

In this paper, we propose a multi-sensor fusion algorithm based on particle filters for mobile
robot localisation in crowded environments. Our system is able to fuse the information …

Recent learning-based approaches have achieved impressive results in the field of single-
shot camera localization. However, how best to fuse multiple modalities (eg, image and …

This work presents an Indoor Positioning System to estimate the location of people
navigating in complex indoor environments. The developed technique combines WiFi …

Recent years have witnessed an increasing emphasis on integrating computational thinking
into school curriculums. This study deals with suggesting a course model including data …

In this paper, we develop a distributed algorithm to localize a network of robots moving
arbitrarily in a bounded region. In the case of such mobile networks, the main challenge is …

With the introduction of autonomous robots that help perform various tasks in our
environments, we can opportunistically use them for collecting fine-grain sensor …

Doris, the social robot girl, is under development to be employed in museums and trade fairs
as a tour guide. External sensorial information must be inputted so that Doris moves around …

In this paper, we propose a new approach for fault tolerant localization using multi-sensors
data fusion for a unicycle-type mobile robot. The main contribution of this paper is a new …