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We present a novel technique to combine services, provided by mobile as well as fixed devices, on-the-fly and in a context-sensitive way within smart environments containing groups of people. The key intuition at the base of our approach is that, in those environments, similar functions are provided simultaneously by many agents on board of different(More)
We propose group communication for agent coordination within " active rooms " and other pervasive computing scenarios featuring strict real-time requirements , inherently unreliable communication, and a large but continuously changing set of context-aware autonomous systems. Messages are exchanged over multicast channels, which may remind of chat rooms in(More)
We are investigating how to provide intelligent, pervasive support of group of people within so-called " smart environments ". Our current main assumption, based on literature in psychology and organizational studies, is that a group performs some complex, routine task as a structured activity, that is, by following some protocols that allow its members to(More)
The problem of tracking moving objects or human beings is a challenging problem in mobile robotics. Knowledge about the position of moving subjects can be used both to improve the behavior of the robotic system, and to perform tasks of monitoring or following. Different methodologies have been applied in literature, using different sensors and techniques(More)
The possible modulatory influence of motivations and emotions is of great interest in designing robotic adaptive systems. In this paper, we will try to connect the concept of periodic behaviour activations to emotional modulation, in order to link the variability of behaviours to the circumstances in which they are activated. We will study the impact of(More)
— Human safety and effective human-robot communication are main concerns in HRI applications. In order to achieve such goals, a system should be very robust, allowing little chance for misunderstanding the user's commands. Moreover , the system should permit natural interaction reducing the time and the effort needed to achieve tasks. The main purpose of(More)
— In this work, we present a reliable and continuous gesture recognition method that supports a natural and flexible interaction between the human and the robot. The aim is to provide a system that can be trained online with few samples and can cope with intra user variability during the gesture execution. The proposed approach relies on the generation of(More)
In this paper, we investigate simple attentional mechanisms suitable for sensing rate regulation and action coordination in the presence of mutually dependent behaviors. We present our architecture along with a case study where a real robotic system is to manage and harmonize conflicting tasks. This research focuses on attentional mechanisms for regulating(More)