As researchers have pushed the limits of what can be accomplished by a single robot
operating in a known or unknown environment, a greater emphasis has been placed on the …

In this work a direct dense approach is proposed for real-time RGB-D localisation and
tracking. The direct RDB-D localisation approach is demonstrated on a low cost sensor …

Pedestrian navigation is an important ingredient for efficient multimodal transportation, such
as guidance within large transportation infrastructures. A requirement is accurate positioning …

In this paper, we consider the problem of collectively exploring unknown and dynamic
environments with a decentralized heterogeneous multi-robot system consisting of multiple …

Introducing a priori knowledge about the latent structure of the environment in simultaneous
localization and mapping (SLAM), can improve the quality and consistency results of its …

We present a technique for detecting floor changes in an indoor environment and improving
pedestrian indoor localization and navigation. Our technique relies on barometric pressure …

This paper presents a new method for mapping multi-floor buildings. The method combines
laser range sensor for metric mapping and barometric pressure sensor for detecting floor …

In the current COVID-19 pandemic, people expect to use robots to replace humans to
complete the disinfection work in public places. Since different regions in the environment …

In this paper we present a general method for exploiting prior information to constrain the
location of land marks in GraphSLAM. Prior information can be obtained for many …

We propose a scheme called MuNES for single mapping and trajectory planning including
elevators and stairs. Optimized multifloor trajectories are important for optimal interfloor …