During an emergency inside large buildings such as hospitals and shopping malls, the
availability of up-to-date information is critical. One common source of information is the 2D …

Background We demonstrate the first self-learning, context-sensitive, autonomous camera-
guiding robot applicable to minimally invasive surgery. The majority of surgical robots …

This work presents a novel approach to autonomous decentralized multi-robot frontier
exploration and mapping of an unknown area. A mobile robot team simultaneously explores …

Mobile robots depend on maps for localization, planning, and other applications. In indoor
scenarios, there is often lots of clutter present, such as chairs, tables, other furniture, or …

People from economically weaker sections find consolation in doing unskilled tasks which
are easily available, though a few of them are certainly not for humans. They have to be …

Trash accumulation in beaches affects the ecosystem of coastal lines. Different types of trash
can affect beaches in a variety of ways and manual identification of this trash might become …

The increase of the use of Autonomous Vehicles in different types of environments leads to
an improvement of the Localization and Navigation algorithms. The goal is to increase the …

The prevalence of household robots is growing steadily year by year. However, in human-
robot interaction (HRI), which involves issuing commands to manipulate objects in a given …

RESUMO A localização precisa de um robô é um desafio fundamental e uma das tarefas
mais importantes para os sistemas de navegação autônoma. Na navegação autônoma, o …

This project aims to develop an autonomous litter-picking robot designed to operate in
indoor environments such as malls, bus stations, and cinema halls. The robot's primary …