Search results for " recognition"

showing 10 items of 3220 documents

Simulation Goals and Metrics Identification

2016

Agent-Based Modeling and Simulation (ABMS) is a very useful means for producing high quality models during simulation studies. When ABMS is part of a methodological ap- proach it becomes important to have a method for identifying the objectives of the simulation study in a disciplined fashion. In this work we propose a set of guidelines for properly capturing and representing the goals of the simulations and the metrics, allowing and evaluating the achievement of a simulation objective. We take inspiration from the goal-question-metric approach and with the aid of a specific problem formalization we are able to derive the right questions for relating simulation goals and metrics.

0209 industrial biotechnologyComputer sciencemedia_common.quotation_subject02 engineering and technologyInformation Systemlcsh:QA75.5-76.95Modeling and simulationSet (abstract data type)020901 industrial engineering & automationSoftware0202 electrical engineering electronic engineering information engineeringInformation systemComputer Science (miscellaneous)Quality (business)Software measurementmedia_commonSettore ING-INF/05 - Sistemi Di Elaborazione Delle Informazionilcsh:T58.5-58.64lcsh:Information technologybusiness.industryManagement science020208 electrical & electronic engineeringCognitive neuroscience of visual object recognitionComputer Science Applications1707 Computer Vision and Pattern Recognitionmulti agent systemsIdentification (information)lcsh:Electronic computers. Computer sciencesimulationsbusiness
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Homography based egomotion estimation with a common direction

2017

International audience; In this paper, we explore the different minimal solutions for egomotion estimation of a camera based on homography knowing the gravity vector between calibrated images. These solutions depend on the prior knowledge about the reference plane used by the homography. We then demonstrate that the number of matched points can vary from two to three and that a direct closed-form solution or a Gröbner basis based solution can be derived according to this plane. Many experimental results on synthetic and real sequences in indoor and outdoor environments show the efficiency and the robustness of our approach compared to standard methods.

0209 industrial biotechnologyComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONHomography02 engineering and technology[ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]homography estimationGröbner basis020901 industrial engineering & automationArtificial IntelligenceRobustness (computer science)0202 electrical engineering electronic engineering information engineeringStructure from motion[INFO.INFO-RB]Computer Science [cs]/Robotics [cs.RO]Computer visionComputingMilieux_MISCELLANEOUSstructure-from-motionMathematicsegomotion estimationPhotogrammetrie und Bildanalysebusiness.industryApplied Mathematics[ INFO.INFO-RB ] Computer Science [cs]/Robotics [cs.RO][INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Standard methodsReference planeComputational Theory and Mathematics020201 artificial intelligence & image processingComputer Vision and Pattern RecognitionArtificial intelligencebusinessSoftwareIndex Terms—Computer vision
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Dynamic Modeling, Energy Analysis, and Path Planning of Spherical Robots on Uneven Terrains

2020

Spherical robots are generally comprised of a spherical shell and an internal actuation unit. These robots have a variety of applications ranging from search and rescue to agriculture. Although one of the main advantages of spherical robots is their capability to operate on uneven surfaces, energy analysis and path planning of such systems have been studied only for flat terrains. This work introduces a novel approach to evaluate the dynamic equations, energy consumption, and separation analysis of these robots rolling on uneven terrains. The presented dynamics modeling, separation analysis, and energy analysis allow us to implement path planning algorithms to find an optimal path. One of t…

0209 industrial biotechnologyControl and OptimizationComputer science0211 other engineering and technologiesBiomedical EngineeringTerrain02 engineering and technologySpherical shellComputer Science::RoboticsVehicle dynamics020901 industrial engineering & automationArtificial IntelligenceMotion planningSearch and rescueComputingMethodologies_COMPUTERGRAPHICS021106 design practice & managementMechanical EngineeringPropellerControl engineeringEnergy consumptionComputer Science ApplicationsSystem dynamicsHuman-Computer InteractionControl and Systems EngineeringPath (graph theory)RobotComputer Vision and Pattern RecognitionIEEE Robotics and Automation Letters
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An Input Observer-Based Stiffness Estimation Approach for Flexible Robot Joints

2020

This letter addresses the stiffness estimation problem for flexible robot joints, driven by variable stiffness actuators in antagonistic setups. Due to the difficulties of achieving consistent production of these actuators and the time-varying nature of their internal flexible elements, which are subject to plastic deformation over time, it is currently a challenge to precisely determine the total flexibility torque applied to a robot's joint and the corresponding joint stiffness. Herein, by considering the flexibility torque acting on each motor as an unknown signal and building upon Unknown Input Observer theory, a solution for electrically-driven actuators is proposed, which consists of …

0209 industrial biotechnologyControl and OptimizationFlexibility (anatomy)Observer (quantum physics)Computer scienceBiomedical Engineering02 engineering and technologyCalibration and identificationComputer Science::Robotics020901 industrial engineering & automationArtificial IntelligenceControl theorymedicineTorqueFlexible RobotMechanical Engineeringnatural machine motionStiffness021001 nanoscience & nanotechnologyComputer Science ApplicationsHuman-Computer Interactionmedicine.anatomical_structureControl and Systems EngineeringJoint stiffnessRobotComputer Vision and Pattern Recognitionmedicine.symptomDeformation (engineering)0210 nano-technologyActuatorfailure detection and recoveryIEEE Robotics and Automation Letters
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Direct analysis of power-split CVTs: A unified method

2018

Abstract This paper provides a fast kinematic analysis method for compound power-split CVTs, which consents to identify their functional parameters. Such parameters permit the assessment of power flows, torques and efficiency, and the design of equivalent transmissions by the use of a recently published mathematical model. The same method can easily address either simpler or more complex transmissions by mean of kinematic equivalent parameters, without the need to arrange separate systems of equations. As a case study, we performed the kinematic analysis of the “Voltec” multi-mode GM transmission.

0209 industrial biotechnologyEngineeringPower-split CVTBioengineering02 engineering and technologyKinematicsSystem of linear equations020901 industrial engineering & automation0203 mechanical engineeringPower splitTorqueMechanics of MaterialContinuously variable transmissionDirect analysisAnalysis methodE-CVTbusiness.industryMechanical EngineeringComputer Science Applications1707 Computer Vision and Pattern RecognitionControl engineeringSettore ING-IND/13 - Meccanica Applicata Alle MacchineHybridGM VoltecComputer Science ApplicationsPower (physics)Direct analysi020303 mechanical engineering & transportsTransmission (telecommunications)Mechanics of MaterialsbusinessMechanism and Machine Theory
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Tracking Control of Networked Multi-Agent Systems Under New Characterizations of Impulses and Its Applications in Robotic Systems

2016

This paper examines the problem of tracking control of networked multi-agent systems with multiple delays and impulsive effects, whose results are applied to mechanical robotic systems. Four kinds of impulsive effects are taken into account: 1) both the strengths of impulsive effects and the number of nodes injected with impulses are time dependent; 2) the strengths of impulsive effects occur according to certain probabilities and the number of nodes under impulsive control is time varying; 3) the strengths of impulses are time varying, whereas the number of nodes with impulses takes place according to certain probabilities; 4) both the strengths of impulses and the number of nodes with imp…

0209 industrial biotechnologyEngineeringTracking controlControl (management)02 engineering and technologyTracking (particle physics)robotic systems020901 industrial engineering & automationControl theory0202 electrical engineering electronic engineering information engineeringmulti-agent systemsElectrical and Electronic EngineeringRobot kinematicsbusiness.industryStochastic processMulti-agent systemtime-delaysComputer Science Applications1707 Computer Vision and Pattern RecognitionControl engineeringRobotic systemsLeader-following consensusControl and Systems EngineeringControl systemLeader-following consensus; multi-agent systems; robotic systems; time-delays; Tracking control; Control and Systems Engineering; Computer Science Applications1707 Computer Vision and Pattern Recognition; Electrical and Electronic Engineering020201 artificial intelligence & image processingbusinessIEEE Transactions on Industrial Electronics
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Design of a modular Autonomous Underwater Vehicle for archaeological investigations

2015

MARTA (MARine Tool for Archaeology) is a modular AUV (Autonomous Underwater Vehicle) designed and developed by the University of Florence in the framework of the ARROWS (ARchaeological RObot systems for the World's Seas) FP7 European project. The ARROWS project challenge is to provide the underwater archaeologists with technological tools for cost affordable campaigns: i.e. ARROWS adapts and develops low cost AUV technologies to significantly reduce the cost of archaeological operations, covering the full extent of an archaeological campaign (underwater mapping, diagnosis and cleaning tasks). The tools and methodologies developed within ARROWS comply with the "Annex" of the 2001 UNESCO Conv…

0209 industrial biotechnologyEngineeringUnderwater acoustic positioning systemContext (archaeology)02 engineering and technologyUnderwater roboticsImage-based modelling and 3D reconstruction020901 industrial engineering & automationAutonomous Underwater Vehicle0202 electrical engineering electronic engineering information engineeringMarine Robotics14. Life underwaterUnderwaterAutonomous Underwater Vehicles; Marine Robotics; Underwater Robotics; Underwater Cultural HeritageSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniArchaeological Object RecognitionMarine RoboticSettore INF/01 - Informaticabusiness.industryiRobot Seaglider020208 electrical & electronic engineeringAutonomous Underwater VehiclesModular designArchaeologyIntervention AUVMulti-sensor data analysisRobotUnderwater Cultural HeritagebusinessUnderwater Robotics
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Regularized LMS methods for baseline wandering removal in wearable ECG devices

2016

The acquisition of electrocardiogram (ECG) signals by means of light and reduced size devices can be usefully exploited in several health-care applications, e.g., in remote monitoring of patients. ECG signals, however, are affected by several artifacts due to noise and other disturbances. One of the major ECG degradation is represented by the baseline wandering (BW), a slowly varying change of the signal trend. Several BW removal algorithms have been proposed into the literature, even though their complexity often hinders their implementation into wearable devices characterized by limited computational and memory resources. In this study, we formalize the BW removal problem as a mean-square…

0209 industrial biotechnologyEngineeringbusiness.industrySpeech recognitionReal-time computingApproximation algorithmWearable computer020206 networking & telecommunications02 engineering and technologySignalLeast mean squares filter020901 industrial engineering & automation0202 electrical engineering electronic engineering information engineeringPenalty methodNoise (video)businessWearable technologyDegradation (telecommunications)2016 IEEE 55th Conference on Decision and Control (CDC)
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Finite-time stability and stabilisation for a class of nonlinear systems with time-varying delay

2014

This paper is concerned with the problems of finite-time stability FTS and finite-time stabilisation for a class of nonlinear systems with time-varying delay, which can be represented by Takagi–Sugeno fuzzy system. Some new delay-dependent FTS conditions are provided and applied to the design problem of finite-time fuzzy controllers. First, based on an integral inequality and a fuzzy Lyapunov–Krasovskii functional, a delay-dependent FTS criterion is proposed for open-loop fuzzy system by introducing some free fuzzy weighting matrices, which are less conservative than other existing ones. Then, the parallel distributed compensation controller is designed to ensure FTS of the time-delay fuzzy…

0209 industrial biotechnologyEngineeringfinite-time stabilisation; finite-time stability; fuzzy control; nonlinear system; time-delay system; Control and Systems Engineering; Theoretical Computer Science; Computer Science Applications1707 Computer Vision and Pattern RecognitionStability (learning theory)fuzzy controltime-delay system02 engineering and technologynonlinear systemFuzzy logicCompensation (engineering)Theoretical Computer Science020901 industrial engineering & automationControl theory0202 electrical engineering electronic engineering information engineeringfinite-time stabilisationfinite-time stabilityAdaptive neuro fuzzy inference systembusiness.industryComputer Science Applications1707 Computer Vision and Pattern RecognitionFuzzy control systemComputer Science ApplicationsWeightingNonlinear systemControl and Systems Engineering020201 artificial intelligence & image processingbusiness
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Health Indicator for Low-Speed Axial Bearings Using Variational Autoencoders

2020

This paper proposes a method for calculating a health indicator (HI) for low-speed axial rolling element bearing (REB) health assessment by utilizing the latent representation obtained by variational inference using Variational Autoencoders (VAEs), trained on each speed reference in the dataset. Further, versatility is added by conditioning on the speed, extending the VAE to a conditional VAE (CVAE), thereby incorporating all speeds in a single model. Within the framework, the coefficients of autoregressive (AR) models are used as features. The dimensionality reduction inherent in the proposed method lowers the need of expert knowledge to design good condition indicators. Moreover, the sugg…

0209 industrial biotechnologyGeneral Computer Sciencegenerative modelsComputer sciencecondition monitoring02 engineering and technologyLatent variableunsupervised learningFault detection and isolationBearing fault detection020901 industrial engineering & automationVDP::Teknologi: 500::Maskinfag: 5700202 electrical engineering electronic engineering information engineeringGeneral Materials Sciencevariational autoencoderconditional variational autoencoderbusiness.industryDimensionality reduction020208 electrical & electronic engineeringGeneral EngineeringPattern recognitionData pointAutoregressive modelRolling-element bearingFalse alarmArtificial intelligencelcsh:Electrical engineering. Electronics. Nuclear engineeringbusinesslcsh:TK1-9971IEEE Access
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