1,721,036 research outputs found
Multi-monitor System for Adaptive Image Saliency Detection Based on Attentive Mechanisms
No full textEngineering central pattern generated behaviors for the deployment of robotic systems
No full textIn order to face with various contexts and situations, autonomous robots should be endowed with many different sensors and behaviors. These requirements pose new challenges such as the coordination of multiple parallel activities and the efficient use of the limited sensorial and cognitive resources. These challenges are often tackled by relying on a priori and well defined coordination schema among behaviors, and on fixed periodic or ad hoc monitoring strategies. Our working hypothesis is that adaptive control strategies, inspired by natural cyclic processes, can be used to cope with these problems. However, the development of these flexible strategies may result hard to be modeled and implemented. Recently, the possibility of abstracting an implementation view into an architectural design is getting more achievable. Hence, in this paper, we propose a modeling framework that allows developers to model simple behavior-based robotic systems enhanced by the use of Central Pattern Generators (CPGs) for modulating the sensor-motor loops. Different from other approaches, the use of CPGs, here, is to efficiently exploit the limited sensorial and cognitive resources, and to coordinate the multiple activities the robot is endowed with, by balancing sensors elaboration and action execution. The framework can use these models to generate robotic control executable code for analysis purposes. In this paper, we focus on parallel behaviors managing analysis
Supervisory Control of Multiple Robots through Group Communication
No full textSingle-human supervision of collaborative sem-iautonomous multi-robot teams is recently getting the attention of the robotic community. In this context, the adoption of a growing number of robots does not necessarily produce a gain in performance, due to the increased workload of the human supervisor. However, enabling human operators to communicate with groups of robots can reduce the operators’ effort in guiding the team. Here, group communicating is intended not only to assign a task to a group but also as a way to identify the group members. This is particularly relevant in proximate interactions or in the necessity of freeing operator’s hands. In this work, starting from an analysis of real human utterances in selecting groups of robots, we extracted the features that are useful to define a basic vocabulary and analysed the single robot needed awareness about its own characteristics and those of the robots in the neighborhood. Such analysis is used to develop a semi-autonomous multi-robot simulated environment, where a human operator can guide groups of robots. The simulated environment is used to measure the humans’ interaction effort and the task effectiveness while increasing the number of robots involved in a joint task, in the two cases where the commands are issued towards single or grouped robots
Recommender interfaces: The more human-like, the more humans like
No full textSocial robots, when used for information providing, are able to affect humans’ trustworthiness and willingness to interact with them. In this work, we conducted an experimental study aimed at observing if the users’ acceptance of recommendations, as well as their engagement in the interaction, is elicited when using a humanoid robot with respect to a common application on a mobile phone. We conducted an experimental study on movie recommendation where the two interfaces provide the same contents, but through different communication channels. In detail, the robot will attend to the participants in a socially contingent fashion, signaled via head and gaze orientation, speech, eye color and gestures related to the genre of the recommended movie, and the app will provide textual and graphical movie presentation. Results show that while the users perceive the interaction with the mobile application more natural, the social robot is able to enhance the users’ satisfaction and provides a good and stable acceptance rate also when facing participants with various degrees of English proficiency
The SPECTRA Project: Biomedical Data for Supporting the Detection of Treatment Resistant Schizophrenia
No full textLeveraging the RoboMaker Service on AWS Cloud Platform for Marine Drone Digital Twin Construction
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Advancing EEG-Based Emotion Recognition: Unleashing the Power of Graph Neural Networks for Dynamic and Topology-Aware Models
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