Search results for "Robot"

showing 10 items of 1036 documents

A new record and molecular characterization of the Green Turtle Chelonia mydas (Testudines, Cheloniidae) in Sicilian coastal waters

2017

A juvenile specimen of the Green Turtle, Chelonia mydas, was recovered in Sicilian coastal waters close to Avola (Syracuse province, south-eastern Sicily, Italy). Before being released, the specimen was measured and inspected for the presence of ingested hooks or other possible harms to its health. A fragment of the mtDNA marker COI was amplified and sequenced in order to provide the first molecular data for the species from the central Mediterranean area. The possible influence of climate change on the occurrence of this thermophilic species in the central Mediterranean area is briefly discussed.

Chelonia mydasCOI mitochondrial DNAbiologyEcologySettore BIO/05 - ZoologiaZoologySea turtleAquatic ScienceOceanographybiology.organism_classificationlanguage.human_languagelaw.inventionlawMediterranean SealanguageMediterranean areaCheloniidaeSea turtle Chelonia mydas COI mitochondrial DNA Mediterranean SeaTurtle (robot)Sicilian
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A cognitive architecture for human-robot teaming interaction

2019

Human-robot interaction finalized to cooperation and teamwork is a demanding research task, both under the development and the implementation point of view. In this context, cognitive architectures are a useful means for representing the cognitive perception-action cycle leading the decision-making process. In this paper, we present ongoing work on a cognitive architecture whose modules consider the possibility to represent the decision-making process starting from the observation of the environment and also of the inner world, populated by trust attitudes, emotions, capabilities and so on, and the world of the other in the environment.

Cognitive architectureHuman-robot interaction
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A Cognitive Model of Trust for Biological and Artificial Humanoid Robots

2018

Abstract This paper presents a model of trust for biological and artificial humanoid robots and agents as antecedent condition of interaction. We discuss the cognitive engines of social perception that accounts for the units on which agents operate and the rules they follow when they bestow trust and assess trustworthiness. We propose that this structural information is the domain of the model. The model represents it in terms of modular cognitive structures connected by a parallel architecture. Finally we give a preliminary formalization of the model in the mathematical framework of the I/O automata for future computational and human-humanoid application.

Cognitive model0209 industrial biotechnologybusiness.industryComputer science020206 networking & telecommunicationsCognition02 engineering and technologyModular designDomain (software engineering)Antecedent (grammar)020901 industrial engineering & automation0202 electrical engineering electronic engineering information engineeringGeneral Earth and Planetary SciencesArtificial intelligencebusinessHumanoid robotGeneral Environmental ScienceProcedia Computer Science
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A cognitive architecture for artificial vision

1997

Abstract A new cognitive architecture for artificial vision is proposed. The architecture, aimed at an autonomous intelligent system, is cognitive in the sense that several cognitive hypotheses have been postulated as guidelines for its design. The first one is the existence of a conceptual representation level between the subsymbolic level, that processes sensory data, and the linguistic level, that describes scenes by means of a high level language. The conceptual level plays the role of the interpretation domain for the symbols at the linguistic levels. A second cognitive hypothesis concerns the active role of a focus of attention mechanism in the link between the conceptual and the ling…

Cognitive modelActive visionLinguistics and LanguageRepresentation levelComputer sciencemedia_common.quotation_subjectGeometric reasoningRepresentation levelsLanguage and LinguisticsArtificial IntelligencePerceptionConceptual spacesLIDAArchitectureActive visionLanguage and Linguisticmedia_commonConceptual spaceSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniCognitive scienceHybrid processingbusiness.industryCognitionSpatial intelligenceCognitive architectureRoboticsRoboticPerceptionArtificial intelligencebusinessSpatial reasoningArtificial Intelligence
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What Will You Do Next? A Cognitive Model for Understanding Others’ Intentions Based on Shared Representations

2013

Goal-directed action selection is the problem of what to do next in order to progress towards goal achievement. This problem is computationally more complex in case of joint action settings where two or more agents coordinate their actions in space and time to bring about a common goal: actions performed by one agent influence the action possibilities of the other agents, and ultimately the goal achievement. While humans apparently effortlessly engage in complex joint actions, a number of questions remain to be solved to achieve similar performances in artificial agents: How agents represent and understand actions being performed by others? How this understanding influences the choice of ag…

Cognitive modelCognitive scienceKnowledge managementProcess (engineering)Computer sciencebusiness.industryAction selectionTask (project management)Joint actionAction (philosophy)Order (exchange)Computational models of cogntion Human-robot collaboration Joint action Motor simulation Shared representationsGoal achievementbusiness
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Artificial organisms as tools for the development of psychological theory: Tolman's lesson

2007

In the 1930s and 1940s, Edward Tolman developed a psychological theory of spatial orientation in rats and humans. He expressed his theory as an automaton (the ‘‘schematic sowbug’’) or what today we would call an ‘‘artificial organism.’’ With the technology of the day, he could not implement his model. Nonetheless, he used it to develop empirical predictions which tested with animals in the laboratory. This way of proceeding was in line with scientific practice dating back to Galileo. The way psychologists use artificial organisms in their work today breaks with this tradition. Modern ‘‘artificial organisms’’ are constructed a posteriori, working from experimental or ethological observations…

Cognitive modelSettore M-PSI/01 - Psicologia GeneraleComputer scienceCognitive NeuroscienceSpatial BehaviorExperimental and Cognitive Psychologysymbols.namesakeArtificial IntelligenceOrientationArtificial organisms Cognitive modeling Schematic sowbug Tolman's theoryPsychological TheoryGalileo (satellite navigation)AnimalsLearningSchematic sowbug Cognitive modeling Artificial organisms Tolman’s theoryComputer Simulationbusiness.industrySchematicGeneral MedicineRoboticsHistory 20th CenturyModels TheoreticalTrial and errorAutomatonRatsSpace PerceptionsymbolsA priori and a posterioriRobotArtificial intelligencebusinessPsychological Theory
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Social Practices based characters in a Robotic Storytelling System

2020

In this work, we present a robotic storytelling system, where the characters have been modelled as cognitive agents embodied in Pepper and NAO robots. The characters have been designed by exploiting the ACT-R architecture, taking into account knowledge, behaviours, norms, and expectations typical of social practices and desires resulting from their personality. The characters explain their reasoning processes during the narration, through a sort of internal dialogue that generate a high level of credibility experienced over the audience.

Cognitive science0209 industrial biotechnologycognitive architecturesmedia_common.quotation_subjectDialogical selfCognition02 engineering and technologyhumanoid robots01 natural sciences010104 statistics & probability020901 industrial engineering & automationEmbodied cognitionsocial roboticsCredibilityPersonalityNarrativehuman robot interactioncognitive systems0101 mathematicsArchitecturePsychologyact-rmedia_commonStorytelling
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Decision Making in Evolving Artificial Systems

2001

The theme of this workshop is artificial perception. In this chapter we will argue that the ecological function of perception is to serve decision-making. If this is so the mechanisms chosen to implement perception, in natural or artificial systems, will be constrained by the requirements of decision-making and theories of decision-making will inevitably influence theories of perception. In what follows we will look at decision-making from what we hope is a new perspective, applying concepts and techniques developed by what we will call “new artificial intelligence”. We will begin, in the second part of the chapter, with a review of traditional, “normative” theories of decision-making and o…

Cognitive scienceArtificial neural networkComputer scienceProspect theoryPerceptionmedia_common.quotation_subjectPerspective (graphical)Evolutionary algorithmEvolutionary roboticsNatural (music)Normativemedia_common
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A cognitive architecture for inner speech

2020

Abstract A cognitive architecture for inner speech is presented. It is based on the Standard Model of Mind, integrated with modules for self-talking. Briefly, the working memory of the proposed architecture includes the phonological loop as a component which manages the exchanging information between the phonological store and the articulatory control system. The inner dialogue is modeled as a loop where the phonological store hears the inner voice produced by the hidden articulator process. A central executive module drives the whole system, and contributes to the generation of conscious thoughts by retrieving information from long-term memory. The surface form of thoughts thus emerges by …

Cognitive scienceSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniComputer scienceWorking memoryCognitive Neurosciencemedia_common.quotation_subjectInner speechExperimental and Cognitive PsychologyContext (language use)Cognition02 engineering and technologyCognitive architectureCognitive architecture03 medical and health sciences0302 clinical medicineArtificial IntelligencePerception0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingBaddeley's model of working memoryEvent calculus030217 neurology & neurosurgerySoftwareHumanoid robotmedia_common
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Imitation Learning and Anchoring through Conceptual Spaces

2007

In order to have a robotic system able to effectively learn by imitation and not merely reproduce the movements of a human teacher, the system should have the capability to deeply understand the perceived actions to be imitated. This paper deals with the development of a cognitive architecture for learning by imitation in which a rich conceptual representation of the observed actions is built. The purpose of the following discussion is to show how the same conceptual representation can be used both in a bottom-up approach, in order to learn sequences of actions by imitation learning paradigm, and in a top-down approach, in order to anchor the symbolical representations to the perceptual act…

Cognitive scienceSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniComputer sciencebusiness.industrymedia_common.quotation_subjectRepresentation (systemics)AnchoringCognitive architectureHUMAN ARM MOVEMENTS; SYSTEM; TIMERobotics Imitation LearningArtificial IntelligenceSimple (abstract algebra)Order (business)PerceptionArtificial intelligenceCognitive imitationImitationbusinessmedia_common
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