Search results for " Rob"

AN EMOTIONAL ROBOTIC PARTNER FOR ENTERTAINMENT PURPOSES

2010

In this paper an emotional humanoid robot based on Latent Semantic Analysis is presented. The robot is capable of interacting and entertain human users through the exhibition of spontaneous and non-repetitive emotional behaviours. The Latent Semantic Analysis (LSA) paradigm, used to encode the semantics of words through a statistical analysis of a large corpus of text, is employed to build an emotional conceptual space that simulates the emotional associative capabilities of human beings, through “Latent Semantic Behaviours”. The LSA paradigm integrates traditional knowledge representation and intuitive capabilities provided by geometric and sub-symbolic information modelling. The effective…

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…

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…

Telenoid android robot as an embodied perceptual social regulation medium engaging natural human–humanoid interaction

2014

The present paper aims to validate our research on human-humanoid interaction (HHI) using the minimalist humanoid robot Telenoid. We conducted the human-robot interaction test with 142 young people who had no prior interaction experience with this robot. The main goal is the analysis of the two social dimensions (''Perception'' and ''Believability'') useful for increasing the natural behaviour between users and Telenoid. We administered our custom questionnaire to human subjects in association with a well defined experimental setting (''ordinary and goal-guided task''). A thorough analysis of the questionnaires has been carried out and reliability and internal consistency in correlation bet…

Investigating Perceptual Features for a Natural Human - Humanoid Robot Interaction Inside a Spontaneous Setting

2013

The present paper aims to validate our research on human-humanoid interaction (HHI) using the minimalistic humanoid robot Telenoid. We have conducted human-robot interactions test with 100 young people with no prior interaction experience with this robot. The main goal is the analysis of the two social dimension (perception and believability) useful for increasing the natural behavior between users and Telenoid. We administrated our custom questionnaire to these subjects after a well defined experimental setting (ordinary and goal-guided task). After the analysis of the questionnaires, we obtained the proof that perceptual and believability conditions are necessary social dimensions for a s…

Modeling Conscious and Unconscious Processes in Jazz Improvisation

2012

PHD Thesis: Investigating Perceptual Features For a Natural Human Humanoid Robot Interaction Inside a Spontaneous Setting

Since robots have become part of human life, several studies have been done with the aim of discovering salient social rules at the basis of the collaboration between human beings and humanoid robot (Human Humanoid Interaction - HHI). The purpose is to have a common environment where human and humanoid robot could engage a proficous "dialogue" in order to share the "sense of co-presence" for common empathic tasks and goals. The humanoid robot must be in a position to interact with the human, and learn day by day from external environment, exactly as it occurs in human beings in the real life. In this sense, significant progresses have been reached, having a strong impact in each aspect of e…

An architecture with a mobile phone interface for the interaction of a human with a humanoid robot expressing emotions and personality

2011

In this paper is illustrated the cognitive architecture of a humanoid robot based on the proposed paradigm of Latent Semantic Analysis (LSA). This paradigm is a step towards the simulation of an emotional behavior of a robot interacting with humans. The LSA approach allows the creation and the use of a data driven high-dimensional conceptual space. We developed an architecture based on three main areas: Sub-conceptual, Emotional and Behavioral. The first area analyzes perceptual data coming from the sensors. The second area builds the sub-symbolic representation of emotions in a conceptual space of emotional states. The last area triggers a latent semantic behavior which is related to the h…

Motor simulation via coupled internal models using sequential Monte Carlo

2011

We describe a generative Bayesian model for action understanding in which inverse-forward internal model pairs are considered 'hypotheses' of plausible action goals that are explored in parallel via an approximate inference mechanism based on sequential Monte Carlo methods. The reenactment of internal model pairs can be considered a form of motor simulation, which supports both perceptual prediction and action understanding at the goal level. However, this procedure is generally considered to be computationally inefficient. We present a model that dynamically reallocates computational resources to more accurate internal models depending on both the available prior information and the predic…