For robots to navigate and interact more richly with the world around them, they will likely
require a deeper understanding of the world in which they operate. In robotics and related …

The evolution of contemporary mobile robotics has given thrust to a series of additional
conjunct technologies. Of such is the semantic map**, which provides an abstraction of …

To date, a large number of algorithms to solve the problem of autonomous exploration and
map** has been presented. However, few efforts have been made to compare these …

This paper addresses the problem of exploring an unknown environment with a team of
mobile robots. The key issue in coordinated multi-robot exploration is how to assign target …

The ability to represent knowledge about space and its position therein is crucial for a
mobile robot. To this end, topological and semantic descriptions are gaining popularity for …

Frontier-based exploration is the most common approach to exploration, a fundamental
problem in robotics. In frontier-based exploration, robots explore by repeatedly detecting …

Cooperative multi-robot teams need to be able to explore cluttered and unstructured
environments while dealing with communication dropouts that prevent them from …

The ability to autonomously learn a model of an environment is an important capability of a
mobile robot. In this paper, we investigate the problem of exploring a scene given …

The availability of efficient map** systems to produce accurate representations of initially
unknown environments is recognized as one of the main requirements for autonomous …

Traditional place categorization approaches in robot vision assume that training and test
images have similar visual appearance. Therefore, any seasonal, illumination, and …