In the field of robotics and automation, navigation systems based on Large Language
Models (LLMs) have recently shown impressive performance. However, the security aspects …

Human-aware navigation is a complex task for mobile robots, requiring an autonomous
navigation system capable of achieving efficient path planning together with socially …

There is an exciting synergy between deep learning and robotics, combining the perception
skills a deep learning system can achieve with the wide variety of physical responses a …

Person re-identification plays a key role in applications where a mobile robot needs to track
its users over a long period of time, even if they are partially unobserved for some time, in …

Modern robotic platforms need a reliable localization system to operate daily beside
humans. Simple pose estimation algorithms based on filtered wheel and inertial odometry …

As robots become increasingly common in human-populated environments, they must be
perceived as social beings and behave socially. People try to preserve their own space …

The application of robots in social life, equipped with sensors and actuators and embedded
with AI, assists people in all aspects. However, the first perspective of the robot horizon is …

Ultra-Wideband (UWB) technology is an emerging low-cost solution for localization in a
generic environment. However, UWB signal can be affected by signal reflections and non …

Autonomous mobile robots heavily rely on the information provided by the different
algorithms in charge of calculating the position of the robot in a map, detecting and avoiding …

En el contexto sociológico actual, los robots están cada vez más presentes en nuestro día a
día. La capacidad de estos sistemas para interaccionar con los seres humanos es clave …