Search results for " Rob"
showing 10 items of 689 documents
A Cognitive Robotics Implementation of Global Workspace Theory for Episodic Memory Interaction with Consciousness
2023
Abstract—Artificial general intelligence revived in recent years after people achieved significant advances in machine learning and deep learning. This leads to the thinking of how real intelligence could be created. Consciousness theories believe that general intelligence is essentially conscious, yet no universal definition is agreed upon. In this work, Global Workspace Theory is implemented and integrated with crucial cognitive components. With the focus on episodic memory and inspiration from the nature of episodic memory in psychology and neuroscience, the episodic memory component is implemented within the Global Workspace framework. In our experiment, the robotic agent operates in a …
Application of EαNets to Feature Recognition of Articulation Manner in Knowledge-Based Automatic Speech Recognition
2006
Speech recognition has become common in many application domains. Incorporating acoustic-phonetic knowledge into Automatic Speech Recognition (ASR) systems design has been proven a viable approach to rise ASR accuracy. Manner of articulation attributes such as vowel, stop, fricative, approximant, nasal, and silence are examples of such knowledge. Neural networks have already been used successfully as detectors for manner of articulation attributes starting from representations of speech signal frames. In this paper, a set of six detectors for the above mentioned attributes is designed based on the E-αNet model of neural networks. This model was chosen for its capability to learn hidden acti…
BioAnalysis: A Framework for Structural and Functional Robustness Analysis of Metabolic Networks
2010
The main objective of this work is to analyze metabolic networks evolution in terms of their robustness and fault tolerance capabilities. In metabolic networks, errors can be seen as random removal of network nodes, while attacks are high-connectivity-degree node deletion aimed at compromising network activity. This paper proposes a software framework, namely BioAnalysis, used to test the robustness and the fault tolerance capabilities of real metabolic networks, when mutations and node deletions affect the network structure. The performed simulations are related to the central metabolic network of the well-known E. coli single-celled bacterium and involve either hub nodes or non-hub nodes,…
PARLARE E INTERAGIRE CON UN ROBOT UMANOIDE. TRA MENTE NATURALE E MENTE DIGITALE
2020
L’interazione sociale tra uomini e robot umanoidi è uno dei temi sui quali si focalizza attualmente la ricerca tenendo presente che l’interazione risulta efficace quando prevede anche la decodifica dei segnali non verbali e gestuali normalmente a corredo dei segnali verbali di comunicazione. Di seguito verranno illustrate quali capacità deve esibire un robot umanoide per percepire, dialogare e interagire socialmente con esseri umani, utilizzando sia segnali non verbali sia i bio-segnali cerebrali dell’uomo rilevati attraverso un caschetto BCI. I paradigmi di cooperazione umano-centrici per definire i ruoli sociali che un robot umanoide potrà avere domani nella società degli esseri umani son…
Experiences with CiceRobot, a Museum Guide Cognitive Robot
2005
The paper describes CiceRobot, a robot based on a cognitive architecture for robot vision and action. The aim of the architecture is to integrate visual perception and actions with knowledge representation, in order to let the robot to generate a deep inner understanding of its environment. The principled integration of perception, action and of symbolic knowledge is based on the introduction of an intermediate representation based on Gardenfors conceptual spaces. The architecture has been tested on a RWI B21 autonomous robot on tasks related with guided tours in the Archaeological Museum of Agrigento. Experimental results are presented.
METABOLIC NETWORKS ROBUSTNESS: THEORY, SIMULATIONS AND RESULTS
2011
Metabolic networks are composed of several functional modules, reproducing metabolic pathways and describing the entire cellular metabolism of an organism. In the last decade, an enormous interest has grown for the study of tolerance to errors and attacks in metabolic networks. Studies on their robustness have suggested that metabolic networks are tolerant to errors, but very vulnerable to targeted attacks against highly connected nodes. However, many findings on metabolic networks suggest that the above classification is too simple and imprecise, since hub node attacks can be by-passed if alternative metabolic paths can be exploited. On the contrary, non-hub nodes attacks can affect cell …
A global workspace theory model for trust estimation in human-robot interaction
2019
Successful and genuine social connections between humans are based on trust, even more when the people involved have to collaborate to reach a shared goal. With the advent of new findings and technologies in the field of robotics, it appears that this same key factor that regulates relationships between humans also applies with the same importance to human-robot interactions (HRI). Previous studies have proven the usefulness of a robot able to estimate the trustworthiness of its human collaborators and in this position paper we discuss a method to extend an existing state-of-the-art trust model with considerations based on social cues such as emotions. The proposed model follows the Global …
Perceptual Social Dimensions of Human - Humanoid Robot Interaction
2013
The present paper aims at a descriptive analysis of the main perceptual and social features of natural conditions of agent interaction, which can be specified by agent in human-humanoid robot interaction. A principled approach to human-robot interaction may be assumed to comply with the natural conditions of agents overt perceptual and social behaviour. To validate our research we used the minimalistic humanoid robot Telenoid. We have conducted human-robot interactions test with people with no prior interaction experience with robot. By administrating our questionnaire to subject after well defined experimental conditions, an analysis of significant variance correlation among dimensions in …
A possible approach to the development of robotic multi-agent systems
2004
The design of a an agent system for robotics is a problem that involves aspects coming from many different disciplines (robotics, artificial intelligence, computer vision, software engineering). The most difficult part of it, often consists in producing and tuning the algorithms that incorporates the robot behavior (planning, obstacle avoidance,. . . ) and abilities (vision, manipulation, navigation,. . . ). Frequently, the reuse of these parts is left to a copy and paste procedure from previous applications to the new one. In so doing many problems could arise. We propose a comprehensive approach for multi-agent systems oriented to robotics applications that uses a complete design methodol…
Artificial Consciousness
2010
“Artificial” or “machine” consciousness is the attempt to model and implement aspects of human cognition that are identified with the elusive and con- troversial phenomenon of consciousness. The chapter reviews the main trends and goals of artificial consciousness research, as environmental coupling, autonomy and resilience, phenomenal experience, semantics or intentionality of the first and sec- ond type, information integration, attention. The chapter also proposes a design for a general “consciousness oriented” architecture that addresses many of the discussed research goals. Comparisons with competing approaches are then presented.