Manuel Castellano Quero

Örebro University | oru · Center for Applied Autonomous Sensor Systems (AASS)

Robust perception is an essential component to enable long-term operation of mobile robots. It depends on failure resilience through reliable sensor data and preprocessing, as well as failure awareness through introspection, for example the ability to self-assess localization performance. This paper presents CorAl: a principled, intuitive, and gene...

This paper presents CorAl: a principled, intuitive, and generalizable method to measure the quality of alignment between pairs of point clouds, which learns to detect alignment errors in a self-supervised manner. CorAl compares the differential entropy in the point clouds separately with the entropy in their union to account for entropy inherent to...

Range sensors are currently present in countless applications related to perception of the environment. In mobile robots, these devices constitute a key part of the sensory apparatus and enable essential operations, that are often addressed by applying methods grounded on probabilistic frameworks such as Bayesian filters. Unfortunately, modern mobi...

For mobile robots to operate in real environments, it is essential that basic tasks such as localization, mapping and navigation are performed properly. These tasks strongly rely on an adequate perception of the environment, which may be challenging in some cases due to the nature of the scene itself, the limited operation of some sensors, or even...

For service robots to expand in everyday scenarios they must be able to identify and manage abnormal situations intelligently. In this paper we work at a basic sensor level, by dealing with raw data produced by diverse devices subjected to some negative circumstances such as adverse environmental conditions or difficult to perceive objects. We have...

Las implementaciones existentes en la actualidad sobre sensores virtuales no emplean un marco común matemáticamente riguroso. Por ello, en este trabajo tenemos como objetivo homogeneizar el soporte teórico de los sensores virtuales a bajo nivel, es decir, tratando directamente sus datos en bruto, de tal modo que puedan ser empleados en diagnostico...

The sensory apparatus of a robot is a key system for its adequate operation. Perception of the environment, localization, etc., are essential tasks for a robot that strongly depend on its sensory data. In this work, we introduce a generic procedure to build an inference architecture based in Bayesian networks that enables for robust detection of se...