Search results for "Hybrid processing"

showing 4 items of 4 documents

An architecture for autonomous agents exploiting conceptual representations

1998

An architecture for autonomous agents is proposed that integrates the functional and the behavioral approaches to robotics. The integration is based on the introduction of a conceptual level, linking together a subconceptual, behavioral, level, and a linguistic level, encompassing symbolic representation and data processing. The proposed architecture is described with reference to an experimental setup, in which the robot task is that of building a significant description of its working environment. © 1998 Elsevier Science B.V. All rights reserved.

Active visionConceptual spaceSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniHybrid processingRepresentation levelbusiness.industryComputer scienceGeneral MathematicsAutonomous agentComputer Science Applications1707 Computer Vision and Pattern RecognitionRoboticsComputer Science ApplicationsControl and Systems EngineeringApplications architectureSystems architectureMathematics (all)RobotArtificial intelligenceReference architectureArchitecturebusinessSoftware
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Understanding dynamic scenes

2000

We propose a framework for the representation of visual knowledge in a robotic agent, with special attention to the understanding of dynamic scenes. According to our approach, understanding involves the generation of a high level, declarative description of the perceived world. Developing such a description requires both bottom-up, data driven processes that associate symbolic knowledge representation structures with the data coming out of a vision system, and top-down processes in which high level, symbolic information is in its turn employed to drive and further refine the interpretation of a scene. On the one hand, the computer vision community approached this problem in terms of 2D/3D s…

Linguistics and LanguageKnowledge representation and reasoningComputer scienceMachine visionProcess (engineering)media_common.quotation_subjectRepresentation levelsLanguage and LinguisticsMotion (physics)Data-drivenArtificial IntelligenceHuman–computer interactionPerceptionConceptual spacesArtificial visionLanguage and Linguisticmedia_commonSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniHybrid processingbusiness.industryRepresentation (systemics)RoboticsProcessesAction (philosophy)PerceptionArtificial intelligencebusinessActionsNeural networksArtificial Intelligence
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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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Conceptual representations of actions for autonomous robots

2001

An autonomous robot involved in long and complex missions should be able to generate, update and process its own plans of action. In this perspective, it is not plausible that the meaning of the representations used by the robot is given from outside the system itself. Rather, the meaning of internal symbols must be firmly anchored to the world through the perceptual abilities and the overall activities of the robot. According to these premises, in this paper we present an approach to action representation that is based on a "conceptual" level of representation, acting as an intermediate level between symbols and data coming from sensors. Symbolic representations are interpreted by mapping …

Conceptual spaceHybrid processingArtificial neural networkRepresentation levelComputer scienceProcess (engineering)business.industryGeneral MathematicsPerspective (graphical)Representation (systemics)Computer Science Applications1707 Computer Vision and Pattern RecognitionAutonomous robotNeural networkComputer Science ApplicationsMeaning (philosophy of language)Action (philosophy)ActionControl and Systems EngineeringRobotMathematics (all)Artificial intelligencebusinessArtificial visionProcesseSoftware
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