Search results for " ARCHITECTURE"

showing 10 items of 2595 documents

Towards a simulation-based tuning of motion cueing algorithms

2016

Abstract This paper deals with the problem of finding the best values for the parameters of Motion Cueing Algorithms (MCA). MCA are responsible for controlling the movements of robotic motion platforms used to generate the gravito-inertial cues of vehicle simulators. The values of their multiple parameters, or coefficients, are hard to establish and they dramatically change the behaviour of MCA. The problem has been traditionally addressed in a subjective, partially non-systematic, iterative, time-consuming way, by seeking pilot/driver feedback on the generated motion cues. The aim of this paper is to introduce a different approach to solve the problem of MCA tuning, by making use of a simu…

020301 aerospace & aeronauticsCorrectnessSeries (mathematics)Computer science02 engineering and technologyVirtual realityParameter spaceMotion (physics)0203 mechanical engineeringHardware and ArchitectureModeling and SimulationGenetic algorithm0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingHeuristicsSimulation basedAlgorithmSoftwareSimulation Modelling Practice and Theory
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UJI RobInLab's approach to the Amazon Robotics Challenge 2017

2017

This paper describes the approach taken by the team from the Robotic Intelligence Laboratory at Jaume I University to the Amazon Robotics Challenge 2017. The goal of the challenge is to automate pick and place operations in unstructured environments, specifically the shelves in an Amazon warehouse. RobInLab's approach is based on a Baxter Research robot and a customized storage system. The system's modular architecture, based on ROS, allows communication between two computers, two Arduinos and the Baxter. It integrates 9 hardware components along with 10 different algorithms to accomplish the pick and stow tasks. We describe the main components and pipelines of the system, along with some e…

0209 industrial biotechnologyAmazon rainforestbusiness.industryComputer science010401 analytical chemistryCognitive neuroscience of visual object recognitionRobotics02 engineering and technologyModular architecture01 natural sciences0104 chemical sciences020901 industrial engineering & automationGrippersComputer data storageSMT placement equipmentRobotArtificial intelligenceSoftware engineeringbusiness2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI)
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Advanced teleoperation and control system for industrial robots based on augmented virtuality and haptic feedback

2021

[EN] There are some industrial tasks that are still mainly performed manually by human workers due to their complexity, which is the case of surface treatment operations (such as sanding, deburring, finishing, grinding, polishing, etc.) used to repair defects. This work develops an advanced teleoperation and control system for industrial robots in order to assist the human operator to perform the mentioned tasks. On the one hand, the controlled robotic system provides strength and accuracy, holding the tool, keeping the right tool orientation and guaranteeing a smooth approach to the workpiece. On the other hand, the advanced teleoperation provides security and comfort to the user when perf…

0209 industrial biotechnologyCOMUNICACION AUDIOVISUAL Y PUBLICIDADComputer science02 engineering and technologyVirtual realityIndustrial and Manufacturing EngineeringAugmented virtuality020901 industrial engineering & automation0202 electrical engineering electronic engineering information engineeringSimulationHaptic technologyRealitat virtualOrientation (computer vision)INGENIERIA DE SISTEMAS Y AUTOMATICATask (computing)Hardware and ArchitectureControl and Systems EngineeringControl systemTeleoperationRobot020201 artificial intelligence & image processingAugmented virtualityHaptic feedbackPolishing taskRobotic armRobotsSoftware
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Advancing manufacturing systems research at NAMRC 46

2018

Research on manufacturing systems is further enriched and becomes stronger at the 46th North American Manufacturing Research Conference (NAMRC 46) at Texas A&M University, College Station, TX, USA. Advancing manufacturing systems is more prevalent than before due to recent industrial revolution (or Industry 4.0), continuous business decentralisation and needs for better overall resource efficiency and effectiveness. Manufacturers are competing in a global, dynamic marketplace that demands excellence in quality and service, throughput, innovativeness, agility in production, short response time to changing markets, and tight profitable margins. In the 21st century, manufacturing will be g…

0209 industrial biotechnologyComputer science020206 networking & telecommunications02 engineering and technologyManufacturing systemsIndustrial and Manufacturing EngineeringManufacturing engineering020901 industrial engineering & automationHardware and ArchitectureControl and Systems Engineering0202 electrical engineering electronic engineering information engineeringManufacturing systemsSettore ING-IND/16 - Tecnologie E Sistemi Di LavorazioneSoftwareJournal of Manufacturing Systems
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BIAM: a new bio-inspired analysis methodology for digital ecosystems based on a scale-free architecture

2017

Today we live in a world of digital objects and digital technology; industry and humanities as well as technologies are truly in the midst of a digital environment driven by ICT and cyber informatics. A digital ecosystem can be defined as a digital environment populated by interacting and competing digital species. Digital species have autonomous, proactive and adaptive behaviors, regulated by peer-to-peer interactions without central control point. An interconnecting architecture with few highly connected nodes (hubs) and many low connected nodes has a scale- free architecture. A new bio-inspired analysis methodology (BIAM) environment, an investigation strategy for information flow, fault…

0209 industrial biotechnologyComputer scienceDistributed computingScale (chemistry)Metabolic networkComputational intelligence02 engineering and technologyTheoretical Computer ScienceSet (abstract data type)Scale-free architectureDigital ecosystemDigital ecosystem020901 industrial engineering & automationInformation and Communications TechnologyInformatics0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingEcosystemDE architectural analysiGeometry and TopologyInformation flow (information theory)ArchitectureScience technology and societySoftware
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Towards a Reference Architecture for Archival Systems: Use Case With Product Data

2014

Long-term preservation of product data is imperative for many organizations. A product data archive should be designed to ensure information accessibility and understanding over time. Approaches, such as the Open Archival Information System Reference Model (OAIS RM) and the Audit and Certification of Trustworthy Digital Repositories (ACTDR), provide a framework for conceptually describing and evaluating archives. These approaches are generic and do not focus on particular contexts or content types such as product data. Moreover, these approaches offer no guidance on how to formally and comprehensively describe archival systems. Such descriptions should include the business activities that a…

0209 industrial biotechnologyComputer scienceEnterprise architecture020101 civil engineering02 engineering and technologyIndustrial and Manufacturing Engineering0201 civil engineeringTerminologyWorld Wide Web[INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI]020901 industrial engineering & automation[INFO.INFO-RB]Computer Science [cs]/Robotics [cs.RO][INFO]Computer Science [cs]Reference architectureArchitectureReference modelComputingMilieux_MISCELLANEOUS[INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB]business.industryComputer Graphics and Computer-Aided Design[INFO.INFO-GR]Computer Science [cs]/Graphics [cs.GR]Computer Science ApplicationsOpen Archival Information SystemInformation model[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]Department of Defense Architecture Framework[INFO.INFO-DC]Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC]Software engineeringbusinessSoftwareJournal of Computing and Information Science in Engineering
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A simulated annealing-based approach for the joint optimization of production/inventory and preventive maintenance policies

2017

Even if more reliable than the past, the performance of modern manufacturing systems is still affected by machine’s deteriorations and breakdowns. As a consequence, adequate maintenance programs must be implemented to adequately satisfy demands during manufacturing stops due to unexpected failures or preventive maintenance (PM) actions. Despite production and maintenance are closely related issues, their joint optimization has become an important research topic just during the last decade. Therefore, the present paper proposes a model for the combined optimization of production/inventory control and PM policies with the aim of minimizing the total expected cost per unit time. The model is f…

0209 industrial biotechnologyEngineeringService (systems architecture)0211 other engineering and technologies02 engineering and technologyPreventive maintenanceIndustrial and Manufacturing EngineeringContinuous production020901 industrial engineering & automationRobustness (computer science)Settore ING-IND/17 - Impianti Industriali MeccaniciProduction (economics)Settore ING-IND/16 - Tecnologie E Sistemi Di LavorazioneMonte Carlo simulationInventory control021103 operations researchbusiness.industryPlanned maintenanceMechanical EngineeringSimulated annealing algorithmJoint optimizationPreventive maintenanceComputer Science ApplicationsReliability engineeringBuffer stockControl and Systems EngineeringSimulated annealingbusinessSoftwareThe International Journal of Advanced Manufacturing Technology
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Patented intelligence: Cloning human decision models for Industry 4.0

2018

Industry 4.0 is a trend related to smart factories, which are cyber-physical spaces populated and controlled by the collective intelligence for the autonomous and highly flexible manufacturing purposes. Artificial Intelligence (AI) embedded into various planning, production, and management processes in Industry 4.0 must take the initiative and responsibility for making necessary real-time decisions in many cases. In this paper, we suggest the Pi-Mind technology as a compromise between completely human-expert-driven decision-making and AI-driven decision-making. Pi-Mind enables capturing, cloning and patenting essential parameters of the decision models from a particular human expert making …

0209 industrial biotechnologyKnowledge managementIndustry 4.0Computer sciencecognitive modelsCompromisemedia_common.quotation_subjectpäätöksentekoCognitive computingRationality02 engineering and technologyIndustrial and Manufacturing Engineeringcyber-physical system020901 industrial engineering & automation0202 electrical engineering electronic engineering information engineeringontologyindustry 4.0preferencevalue systemmedia_commonta113cloneta214Cloning (programming)business.industryCollective intelligencecollective intelligencedecision-makingPi-Mindsmart decisiontietämysjärjestelmätpatented intelligenceHardware and ArchitectureControl and Systems Engineeringteollisuusautomaatioälytekniikkavalmistustekniikka020201 artificial intelligence & image processingjoukkoälyHuman cloningbusinessDecision modelSoftwareJournal of Manufacturing Systems
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Accurate keyframe selection and keypoint tracking for robust visual odometry

2016

This paper presents a novel stereo visual odometry (VO) framework based on structure from motion, where a robust keypoint tracking and matching is combined with an effective keyframe selection strategy. In order to track and find correct feature correspondences a robust loop chain matching scheme on two consecutive stereo pairs is introduced. Keyframe selection is based on the proportion of features with high temporal disparity. This criterion relies on the observation that the error in the pose estimation propagates from the uncertainty of 3D points—higher for distant points, that have low 2D motion. Comparative results based on three VO datasets show that the proposed solution is remarkab…

0209 industrial biotechnologyMatching (graph theory)Computer scienceVisual odometryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION02 engineering and technologyKeyframe selectionRANSAC020901 industrial engineering & automation0202 electrical engineering electronic engineering information engineeringStructure from motionComputer visionVisual odometryVisual Odometry Structure from Motion RANSAC feature matching keyframe selectionPoseSelection (genetic algorithm)Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniRANSACSettore INF/01 - InformaticaFeature matchingbusiness.industryStructure from motionPattern recognitionComputer Science ApplicationsHardware and ArchitectureFeature (computer vision)Pattern recognition (psychology)020201 artificial intelligence & image processingComputer Vision and Pattern RecognitionArtificial intelligencebusinessSoftware
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Innovative method to estimate state of charge of the hydride hydrogen tank: application of fuel cell electric vehicles

2021

International audience; Significant attention has been paid to metal hydrides (MH) as an environmentally friendly and safe way to store hydrogen. This technology has considerable potential for the application of embedded hydrogen storage in fuel cell electric vehicles, but its widespread application faces a major problem in terms of estimating the remaining hydrogen amount in the tank. In this work, a new method is proposed for estimating the state of charge (SoC) of the hydrogen hydride tank (HHT) by application of piezoelectric material. The idea is to cover the entire inner wall of the metal-hydride tank with a layer of piezoelectric material. During the process of hydrogen absorption, t…

0209 industrial biotechnologyMaterials scienceHydrogen020209 energychemistry.chemical_element02 engineering and technologyHydrogen tank7. Clean energy[SPI.MAT]Engineering Sciences [physics]/Materials[SPI.AUTO]Engineering Sciences [physics]/AutomaticMetal020901 industrial engineering & automation0202 electrical engineering electronic engineering information engineering[PHYS.MECA.MEFL]Physics [physics]/Mechanics [physics]/Fluid mechanics [physics.class-ph]Electrical and Electronic Engineering[SPI.NANO]Engineering Sciences [physics]/Micro and nanotechnologies/Microelectronics[SPI.ACOU]Engineering Sciences [physics]/Acoustics [physics.class-ph]Waste managementHydride[SPI.NRJ]Engineering Sciences [physics]/Electric powerPiezoelectricityEnvironmentally friendlyState of chargechemistryHardware and ArchitectureMechanics of MaterialsModeling and Simulationvisual_artvisual_art.visual_art_medium[PHYS.MECA.THER]Physics [physics]/Mechanics [physics]/Thermics [physics.class-ph]Fuel cellsSoftware
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