A significant obstacle for service robots is the execution of complex tasks in real
environments. For example, it is not easy for service robots to find objects that are partially …

Lifelong localization in a given map is an essential capability for autonomous service robots.
In this letter, we consider the task of long-term localization in a changing indoor environment …

Object-based maps are relevant for scene under-standing since they integrate geometric
and semantic information of the environment, allowing autonomous robots to robustly …

Occupied grid maps are sufficient for mobile robots to complete metric navigation tasks in
domestic environments. However, they lack semantic information to endow the robots with …

The semantic localization problem in robotics consists in determining the place where a
robot is located by means of semantic categories. The problem is usually addressed as a …

Nano-sized unmanned aerial vehicles (UAVs) are well-fit for indoor applications and for
close proximity to humans. To enable autonomy, the nano-UAV must be able to self-localize …

We propose Bayesian approaches for semantic map**, active localization and local
navigation with affordable vision sensors. We develop Bayesian model of egocentric …

We propose a novel semantic map representation method of indoor environment for mobile
robots. The semantics is based on objects, which can be a desk, a wall, a room, or other …

In robotics, the kidnapped robot problem commonly refers to a situation where an
autonomous robot in operation is carried to an arbitrary location [1]. This is a very serious …

Map-building and localization for robots are the most basic technology required to create
autonomous mobile robots. Unfortunately, they are difficult problems to comprehensively …