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 …

Localization algorithms that rely on 3D LiDAR scanners often encounter temporary failures
due to various factors, such as sensor faults, dust particles, or drifting. These failures can …

Algorithms for autonomous navigation in environments without Global Navigation Satellite
System (GNSS) coverage mainly rely on onboard perception systems. These systems …

This work presents EAT (Environment Agnostic Traversability for Reactive Navigation) a
novel framework for traversability estimation in indoor, outdoor, subterranean (SubT) and …

The research potential in the field of mobile mapping technologies is often hindered by
several constraints. These include the need for costly hardware to collect data, limited …

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 …

This article introduces a novel approach to constructing a topometric map that allows for
efficient navigation and decision-making in mobile robotics applications. The method …

This article presents a novel 2D traversability image estimation for local reactive navigation,
that attributes the fusion of a novel Convolutional Neural Network (CNN) for coarse semantic …

In this article, we propose a novel LiDAR and event camera fusion modality for subterranean
(SubT) environments for fast and precise object and human detection in a wide variety of …

The development of machine learning has resulted in data gaining a pivotal role in the
technological advancement, especially data where the ground truth of targeted parameters …