Search results for "Putin"

showing 10 items of 25297 documents

Real-time human collision detection for industrial robot cells

2017

A collision detection system triggering on human motion was developed using the Robot Operating System (ROS) and the Point Cloud Library (PCL). ROS was used as the core of the programs and for the communication with an industrial robot. Combining the depths fields from the 3D cameras was accomplished by the use of PCL. The library was also the underlying tool for segmenting the human from the registrated point clouds. Benchmarking of several collision algorithms was done in order to compare the solution. The registration process gave satisfactory results when testing the repetitiveness and the accuracy of the implementation. The segmentation algorithm was able to segment a person represente…

0209 industrial biotechnologyComputer sciencebusiness.industryPoint cloudProcess (computing)02 engineering and technologyBenchmarkingCollisionlaw.inventionIndustrial robot020901 industrial engineering & automationlawCollision detectionComputer visionSegmentationArtificial intelligencebusinessCollision avoidance2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI)
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3D Point Cloud Descriptor for Posture Recognition

2018

International audience

0209 industrial biotechnologyComputer sciencebusiness.industryPosture recognitionPoint cloud[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]02 engineering and technology[ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]020901 industrial engineering & automation[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV][ INFO.INFO-TI ] Computer Science [cs]/Image Processing0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingComputer visionArtificial intelligencebusinessComputingMilieux_MISCELLANEOUS
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Static and Dynamic Objects Analysis as a 3D Vector Field

2017

International audience; In the context of scene modelling, understanding, and landmark-based robot navigation, the knowledge of static scene parts and moving objects with their motion behaviours plays a vital role. We present a complete framework to detect and extract the moving objects to reconstruct a high quality static map. For a moving 3D camera setup, we propose a novel 3D Flow Field Analysis approach which accurately detects the moving objects using only 3D point cloud information. Further, we introduce a Sparse Flow Clustering approach to effectively and robustly group the motion flow vectors. Experiments show that the proposed Flow Field Analysis algorithm and Sparse Flow Clusterin…

0209 industrial biotechnologyComputer sciencebusiness.industry[INFO.INFO-RB] Computer Science [cs]/Robotics [cs.RO][ INFO.INFO-RB ] Computer Science [cs]/Robotics [cs.RO]ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONPoint cloud[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Context (language use)Motion detection02 engineering and technology[ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV][INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]020901 industrial engineering & automationFlow (mathematics)Motion estimation0202 electrical engineering electronic engineering information engineering[INFO.INFO-RB]Computer Science [cs]/Robotics [cs.RO]020201 artificial intelligence & image processingSegmentationComputer visionArtificial intelligenceCluster analysisbusinessEuclidean vector2017 International Conference on 3D Vision (3DV)
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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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Adaptive Control of Soft Robots Based on an Enhanced 3D Augmented Rigid Robot Matching

2021

Despite having proven successful in generating precise motions under dynamic conditions in highly deformable soft-bodied robots, model based techniques are also prone to robustness issues connected to the intrinsic uncertain nature of the dynamics of these systems. This letter aims at tackling this challenge, by extending the augmented rigid robot formulation to a stable representation of three dimensional motions of soft robots, under Piecewise Constant Curvature hypothesis. In turn, the equivalence between soft-bodied and rigid robots permits to derive effective adaptive controllers for soft-bodied robots, achieving perfect posture regulation under considerable errors in the knowledge of …

0209 industrial biotechnologyControl and OptimizationAdaptive controlKinematicsComputer scienceSoft roboticsSoft roboticsKinematicsSolid modeling02 engineering and technologyComputer Science::Robotics03 medical and health sciences020901 industrial engineering & automationSettore ING-INF/04 - AutomaticaControl theoryRobustness (computer science)0202 electrical engineering electronic engineering information engineeringRepresentation (mathematics)030304 developmental biologyComputingMethodologies_COMPUTERGRAPHICSrobotics0303 health sciencesbusiness.industrysoft robotsAdaptation modelsAdaptive controlRoboticsmodelinguncertain systems.Constant curvatureuncertain systemsControl and Systems EngineeringSolid modelingPiecewiseRobotflexible structuresThree-dimensional displays020201 artificial intelligence & image processingArtificial intelligencebusinessRobotsIEEE Control Systems Letters
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Dynamic Modeling of Planar Multi-Link Flexible Manipulators

2021

A closed-form dynamic model of the planar multi-link flexible manipulator is presented. The assumed modes method is used with the Lagrangian formulation to obtain the dynamic equations of motion. Explicit equations of motion are derived for a three-link case assuming two modes of vibration for each link. The eigenvalue problem associated with the mass boundary conditions, which changes with the robot configuration and payload, is discussed. The time-domain simulation results and frequency-domain analysis of the dynamic model are presented to show the validity of the theoretical derivation.

0209 industrial biotechnologyControl and OptimizationComputer science02 engineering and technology020901 industrial engineering & automationPlanarArtificial IntelligenceNormal modeControl theoryVDP::Teknologi: 500::Maskinfag: 570TJ1-15700202 electrical engineering electronic engineering information engineeringMechanical engineering and machineryBoundary value problemEigenvalues and eigenvectorsroboticsOscillationmodesMechanical Engineering020208 electrical & electronic engineeringPayload (computing)Equations of motionmodelingoscillationVibrationflexibilityvibrationRobotics
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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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Predictive Model Markup Language (PMML) Representation of Bayesian Networks: An Application in Manufacturing

2018

International audience; Bayesian networks (BNs) represent a promising approach for the aggregation of multiple uncertainty sources in manufacturing networks and other engineering systems for the purposes of uncertainty quantification, risk analysis, and quality control. A standardized representation for BN models will aid in their communication and exchange across the web. This article presents an extension to the predictive model markup language (PMML) standard for the representation of a BN, which may consist of discrete variables, continuous variables, or their combination. The PMML standard is based on extensible markup language (XML) and used for the representation of analytical models…

0209 industrial biotechnologyDesignComputer sciencecomputer.internet_protocol02 engineering and technologycomputer.software_genreBayesian inferenceIndustrial and Manufacturing EngineeringArticle[SPI]Engineering Sciences [physics]020901 industrial engineering & automationPMML0202 electrical engineering electronic engineering information engineeringanalyticsUncertainty quantificationMonte-Carlouncertaintycomputer.programming_languageParsingBayesian networkInformationSystems_DATABASEMANAGEMENTstandardPython (programming language)XMLComputer Science ApplicationsmanufacturingComputingMethodologies_PATTERNRECOGNITIONBayesian networksControl and Systems EngineeringSurface-RoughnessData analysisPredictive Model Markup Language020201 artificial intelligence & image processingData miningcomputerXML
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Weld quality prediction in linear friction welding of AA6082-T6 through an integrated numerical tool

2016

Abstract A numerical and an experimental campaign were carried out with varying oscillation frequency and interface pressure. The local values of the main field variables at the contact interface between the specimens were predicted by a Lagrangian, implicit, thermo-mechanical FEM model and used as input of a dedicated Neural Network (NN). The NN, integrated in the FEM environment, was designed in order to calculate both a Boolean output, indicating the occurrence of welding, and a continuous output, indicating the quality of the obtained solid state weld. The analysis of the obtained results allowed three different levels of bonding quality, i.e., no weld, sound weld and excess of heat, to…

0209 industrial biotechnologyEngineeringAluminum alloyField (physics)Interface (computing)Neural Network02 engineering and technologyWeldingIndustrial and Manufacturing Engineeringlaw.invention020901 industrial engineering & automationQuality (physics)lawFriction weldingSettore ING-IND/16 - Tecnologie E Sistemi Di LavorazioneFEMArtificial neural networkbusiness.industryOscillationMetals and AlloysStructural engineering021001 nanoscience & nanotechnologyFinite element methodComputer Science ApplicationsModeling and SimulationCeramics and CompositesLinear Friction Welding0210 nano-technologybusiness
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Vibration Control of a High-Speed Precision Servo Numerically Controlled Punching Press: Multidomain Simulation and Experiments

2017

A three-degree-of-freedom mathematical vibration model of a high-speed punching press was developed in order to explore the vibration modes of the punching press. A multidomain model of the punching press was established to predict the kinematic state during different conditions, as well as the effects of load fluctuation on the motor speed. Experimental measurements of the acceleration of the punching press were carried out. The results comparison reveals that the multidomain model is consistent with the vibration model and the experimental measurements. Modal analysis and structure modification of the punching press were conducted. The foundation at the base of the punching press was impr…

0209 industrial biotechnologyEngineeringArticle SubjectModal analysisVibration controlMechanical engineeringCondensed Matter Physic02 engineering and technologyKinematicsAcceleration020901 industrial engineering & automation0203 mechanical engineeringMechanics of MaterialPunchingCivil and Structural Engineeringbusiness.industryMechanical EngineeringComputingMilieux_PERSONALCOMPUTINGStructural engineeringGeotechnical Engineering and Engineering GeologyCondensed Matter PhysicsStrength of materialslcsh:QC1-999Vibration020303 mechanical engineering & transportsMechanics of Materialsbusinesslcsh:PhysicsServoShock and Vibration
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