Simultaneous localization and mapping (SLAM) in unknown GPS‐denied environments is a
major challenge for researchers in the field of mobile robotics. Many solutions for single …

Multi-robot mapping and environment modeling have several advantages that make it an
attractive alternative to the mapping with a single robot: faster exploration, higher fault …

In this letter, we propose an approach for merging three-dimensional maps represented as
pose graphs of point clouds. Our method can effectively deal with typical distortions affecting …

In this paper, we present a novel algorithm for exploring an unknown environment using a
team of mobile robots. The suggested algorithm is a grid-based search method that utilizes a …

A robust, resource-efficient, distributed, and minimally parameterized 3D map matching and
merging algorithm is proposed. The suggested algorithm utilizes tomographic features from …

In this paper we present a WiFi-based solution to the localization and mapping problem for
teams of heterogeneous robots operating in unknown environments. By exploiting wireless …

The merging of environmental maps constructed by individual UAVs alone and the sharing
of information are key to improving the efficiency of distributed multi-UAVexploration. This …

Multi‐robot map merging without inter‐robot observations, common landmarks, and the
knowledge of initial relative poses is a challenging problem due to lack of features or local …

In this paper, we consider the problem of merging occupancy grid maps obtained by
different autonomous robotic agents exploring the same environment. These robots may …

Most of the existing appearance-based topological mapping algorithms produce dense
topological maps in which each image stands as a node in the topological graph. Sparser …