This paper presents an integrated approach to exploration, mapping, and localization. Our
algorithm uses a highly efficient Rao-Blackwellized particle filter to represent the posterior …

This paper presents a novel path planning algorithm for autonomous, uncertainty-aware
exploration and mapping of unknown environments using aerial robots. The proposed …

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

" Robotic Mapping and Exploration" is an important contribution in the area of simultaneous
localization and mapping (SLAM) for autonomous robots, which has been receiving a great …

Automatically building maps from sensor data is a necessary and fundamental skill for
mobile robots; as a result, considerable research attention has focused on the technical …

An unmanned aerial vehicle (UAV) is tasked to explore an unknown environment and to
map the features it finds, but must do so without the use of infrastructure-based localisation …

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

In this paper we present a novel information-theoretic utility function for selecting actions in a
robot-based autonomous exploration task. The robot's goal in an autonomous exploration …

The ability to explore an unknown environment is an important prerequisite for building truly
autonomous robots. Two central capabilities for autonomous exploration are the selection of …