Search results for "Robotic"
showing 10 items of 636 documents
Robot coscienti, realtà possibile o utopia? Cosa dicono gli studi
2023
C’è un fervente dibattito scientifico attorno alla coscienza, continuamente ravvivato da chi è convinto di poterla emulare e da chi, al contrario, si dice certo che sia funzione unicamente biologica. Le ricadute degli studi che tendono a stabilirlo impattano anche sulla definizione del concetto di persona
A Networking Framework for Multi-Robot Coordination
2008
Autonomous robots operating in real environments need to be able to interact with a dynamic world populated with objects, people, and, in general, other agents. The current generation of autonomous robots, such as the ASIMO robot by Honda or the QRIO by Sony, has showed impressive performances in mechanics and control of movements; moreover, recent literature reports encouraging results about the capability of such robots of representing themselves with respect to a dynamic external world, of planning future actions and of evaluating resulting situations in order to make new plans. However, when multiple robots are supposed to operate together, coordination and communication issues arise; w…
Development of intelligent service robots
2013
The creation of intelligent robots has been a major goal of Artificial Intelligence since the early days and has provided many motivations to Artificial Intelligence researchers. Therefore, a large body of research has been done in this field and many relevant results have shown that integration of Artificial Intelligence and Robotics techniques is a viable approach towards this goal. This article summarizes the efforts and the achievements of several Italian research groups in the development of intelligent robotic systems characterized by a suitable integration of Artificial Intelligence and Robotic techniques. The contributions collected in this article show the long history of this rese…
Quantum RoboSound: Auditory Feedback of a Quantum-Driven Robotic Swarm
2022
Data sonification enhance and enrich information understanding with an additional sensory dimension. Sonification also opens the way to more creative applications, joining arts and sciences. In this study, we present sequences of chords obtained as auditory feedback from the trajectories of a robotic swarm. The swarm behavior is an emerging effect from simple local interactions and autonomous decisions of each robot. The swarm effect can be identified through sonification outcomes in terms of voice leading patterns. Thus, chord patterns represent behavior patterns. The convergence to the target is represented by the convergence to a specific pitch. The swarm decision process is based upon q…
Palermo for everyone: towards an inclusive, social town. The project on innovation for inclusive tourism
2016
L’obiettivo del progetto L’Innovazione per il Turismo Inclusivo consiste nell’impiego di robot umanoidi per facilitare l’accesso e la fruizione di siti di interesse artistico e culturale della città di Palermo a persone con gravi disabilità fisica e mentale. Recentemente, il Comitato del Patrimonio Mondiale dell'Unesco ha dichiarato l'itinerario Arabo Normanno della Città di Palermo Patrimonio Mondiale dell'Umanità. Il progetto, nato in collaborazione tra l’Assessorato all’Energia e Innovazione del Comune di Palermo e il RoboticsLab dell’Università di Palermo, si rivolge a turisti e a cittadini palermitani che, a causa di gravi disabilità fisiche e mentali, sono impossibilitati o possono fr…
Un'architettura robotica per l'honest signalling nell'interazione uomo-umanoide
2017
Questo contributo descrive l’architettura di un sistema di rilevazione e classificazione integrato con robot umanoidi per specificare una classe di segnali biologicamente rilevanti che contribuiscono a rendere l’interazione con l’uomo naturale e affidabile. Si presenterà inizialmente la teoria biologica dell’honest signalling e quindi la sua estensione nella sociometrics. Infine, si illustreranno i moduli dell’architettura progettata come genera- trice di modelli di percezione sociale testabili per una classe delimitata di segnali sociali. This paper describes the architecture of a detection and classification humanoid integrated system, which is designed to specify one class of biologicall…
Robot's Inner Speech Effects on Trust and Anthropomorphic Cues in Human-Robot Cooperation
2021
Inner Speech is an essential but also elusive human psychological process which refers to an everyday covert internal conversation with oneself. We argue that programming a robot with an overt self-talk system, which simulates human inner speech, might enhance human trust by improving robot transparency and anthropomorphism. For this reasons, this work aims to investigate if robot’s inner speech, here intended as overt self-talk, affects human trust and anthropomorphism when human and robot cooperate. A group of participants was engaged in collaboration with the robot. During cooperation, the robot talks to itself. To evaluate if the robot’s inner speech influences human trust, two question…
Design Space Exploration of Parallel Embedded Architectures for Native Clifford Algebra Operations
2012
In the past few decades, Geometric or Clifford algebra (CA) has received a growing attention in many research fields, such as robotics, machine vision and computer graphics, as a natural and intuitive way to model geometric objects and their transformations. At the same time, the high dimensionality of Clifford algebra and its computational complexity demand specialized hardware architectures for the direct support of Clifford data types and operators. This paper presents the design space exploration of parallel embedded architectures for native execution of four-dimensional (4D) and five-dimensional (5D) Clifford algebra operations. The design space exploration has been described along wit…
High-dimensional perceptual signals and synthetic phenomenology
2011
Synthetic phenomenology, in the sense of Chrisley, mainly focuses on the analysis of simplified perceptual signals with small or reduced dimensionality. Instead, we claim that synthetic phenomenology should be analysed in terms of dynamic perceptual signals with huge dimensionality. We claim that forms of dimensionality reduction of the perceptual signals, as done e.g. in typical robot vision applications, are characteristics of automatic “unconscious” processing. An effective “conscious” process actually deals with and must exploit the richness of the perceptual signals coming from the retina. We explore the hypothesis of a high-resolution buffer for the visual process and we discuss an ap…
Real-Time Body Gestures Recognition Using Training Set Constrained Reduction
2017
Gesture recognition is an emerging cross-discipline research field, which aims at interpreting human gestures and associating them to a well-defined meaning. It has been used as a mean for supporting human to machine interaction in several applications of robotics, artificial intelligence, and machine learning. In this paper, we propose a system able to recognize human body gestures which implements a constrained training set reduction technique. This allows the system for a real-time execution. The system has been tested on a publicly available dataset of 7,000 gestures, and experimental results have highlighted that at the cost of a little decrease in the maximum achievable recognition ac…