We present an ample description of a socially compliant mobile robotic platform, which is
developed in the EU-funded project SPENCER. The purpose of this robot is to assist, inform …

3D point cloud-based place recognition is highly demanded by autonomous driving in GPS-
challenged environments and serves as an essential component (ie loop-closure detection) …

Mapping an environment is essential for several robotic tasks, particularly for localization. In
this letter, we address the problem of mapping the environment using LiDAR point clouds …

So far, autonomous order picking (commissioning) systems have not been able to meet the
stringent demands regarding speed, safety, and accuracy of real-world warehouse …

This paper investigates the real time LiDAR odometry and mapping (LOAM) problem in
unstructured environments. We propose E-LOAM (LOAM with Expanded Local Structural …

The underwater domain is a challenging environment for robotics because widely used
electromagnetic devices must be substituted by acoustic equivalents, much slower and …

This study presents a new point set registration method to align 3D range scans. In our
method, fuzzy clusters are utilized to represent a scan, and the registration of two given …

Lidars and cameras are the sensors most commonly used for Simultaneous Localization
And Mapping (SLAM). However, they are not effective in certain scenarios, eg when fire and …

The Normal Distributions Transform (NDT) scan registration algorithm divides a point cloud
using rectilinear voxel cells, then models the points within each cell as a set of Gaussian …

Air pollution causes millions of premature deaths every year, and fugitive emissions of, eg,
methane are major causes of global warming. Correspondingly, air pollution monitoring …