This article presents a 3D point cloud map-merging framework for egocentric heterogeneous
multi-robot exploration, based on overlap detection and alignment, that is independent of a …

Multiple modern robotic applications benefit from centralized cognition and processing
schemes. However, modern equipped robotic platforms can output a large amount of data …

This paper presents a framework addressing the challenge of global localization in
autonomous mobile robotics by integrating LiDAR-based descriptors and Wi-Fi finger …

Change detection and irregular object extraction in 3D point clouds is a challenging task that
is of high importance not only for autonomous navigation but also for updating existing …

In this article, a novel approach for merging 3D point cloud maps in the context of egocentric
multi-robot exploration is presented. Unlike traditional methods, the proposed approach …

In this article, we perform a novel and extended field evaluation of the state-of-the-art
algorithmic frameworks' performance on global pose estimation. More specifically, we focus …

In the new era of intelligent systems, small-scale electronics and advanced sensors, the
application use-cases and operational capabilities of autonomous robots are exponentially …