The Workshop of Physical Agents intends to be a forum for information and experience exchange in different areas regarding the concept of agent in physical environments, especially applied to the control and coordination of autonomous systems: robots, mobile robots, industrial…

This article describes a proposal to achieve fast robot learning from its interaction with the environment. Our proposal will be suitable for continuous learning procedures as it tries to limit the instability that appears every time the robot encounters a…

Human-Robot Interaction (HRI) is one of the most important subfields of social robotics. In several applications, text-to-speech (TTS) techniques are used by robots to provide feedback to humans. In this respect, a natural synchronization between the synthetic voice and the…

Underwater gliders have revealed as a valuable scientific platform, with a growing number of successful environmental sampling applications. They are specially suited for long range missions due to their unmatched autonomy level, although their low surge speed make them strongly…

Vision devices are today one of the most often used sensory elements in autonomous robots. Some of their hindrances are the difficulty in extracting useful information from the captured images and the small visual field of regular cameras. Visual attention…

Nowadays, deploying service robots and adapting their services to a new environment is a task which might require several days. This is an important problem of robotics in general, but specially when the goal is to bring robots to our…

Virtual Worlds Generator is a grammatical model that is proposed to define virtual worlds. It integrates the diversity of sensors and interaction devices, multimodality and a virtual simulation system. Its grammar allows the definition and abstraction in symbols strings of…

In this paper, we propose an original method to geoposition an audio/video stream with multiple emitters that are at the same time receivers of the mixed signal. The obtained method is suitable when a list of positions within a known…

To provide more efficient and flexible alternatives for the applications of secret sharing schemes, this paper describes a threshold sharing scheme based on exponentiation of matrices in Galois fields. A significant characteristic of the proposed scheme is that each participant…

Self-organising neural models have the ability to provide a good representation of the input space. In particular the Growing Neural Gas (GNG) is a suitable model because of its flexibility, rapid adaptation and excellent quality of representation. However, this type…