Search results for "Soft"

showing 10 items of 9809 documents

Improving the Training Methods for Designers of Flexible Production Cells in Factories of the Future

2020

This work proposes a design method for flexible manufacturing systems (FMS). The method reduces the learning curve by helping employees to solve problems related to the design and optimization of the layout, operation and control of FMS, avoiding the drawbacks of current tools. The approach uses Domain Specific Modeling Languages (DSML) for specification of FMS. The paper presents the definition of the DSML and the implementation of the graphical modeling and simulation tool bringing important contributions to development of the domain through the use of constructions from categories theory for DSML specifications. This mathematical basis allows the definition of constraints to avoid supple…

0209 industrial biotechnology021103 operations researchComputer sciencebusiness.industryControl (management)0211 other engineering and technologiesDomain-specific modeling02 engineering and technologyPetri netTraining methodsDomain (software engineering)Modeling and simulation020901 industrial engineering & automationLearning curveProduction (economics)Software engineeringbusiness
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Dynamic Design Intents Capture with Formal Ontology and Perdurants Object Concept for Collaborative Product Design

2016

Loss of design intents and related information throughout the lifecycle of products are common. Capturing design intents of an assembly, which include a temporal (dynamic) stages, is even harder. This research work aims to enhance the spatiotemporal mereotopology (STM) based ontology in tune with the contemporary efforts in this research domain. The main idea with such STM ontology is to capture dynamic design intents and develop an integrated data translation framework from Computer Aided Design (CAD) system to a visualization system. This integration framework is intended to enhance design sharing in a collaborative environment. In this paper, the framework is demonstrated with a simple m…

0209 industrial biotechnology021103 operations researchProduct designComputer science0211 other engineering and technologies02 engineering and technologyOntology (information science)Object (computer science)computer.software_genreVisualization020901 industrial engineering & automationFormal ontologyUnified Modeling LanguageHuman–computer interactionComputer Aided DesigncomputerMereotopologycomputer.programming_language2016 International Conference on Collaboration Technologies and Systems (CTS)
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Big Data in operations and supply chain management: a systematic literature review and future research agenda

2021

In the era of digitalisation, the role of Big Data is proliferating, receiving considerable attention in all sectors and domains. The domain of operations and supply chain management (OSCM) is no different since it offers multiple opportunities to generate a large magnitude of data in real-time. Such extensive opportunities for data generation have attracted academics and practitioners alike who are eager to tap different elements of Big Data application in OSCM. Despite the richness of prior studies, there is limited research that extensively reviews the extant findings to present an overview of the different facets of this area. The current study addresses this gap by conducting a systema…

0209 industrial biotechnology021103 operations researchSupply chain managementProcess managementbusiness.industryComputer scienceStrategy and ManagementSupply chainBig data0211 other engineering and technologiesVDP::Technology: 500::Information and communication technology: 55002 engineering and technologyManagement Science and Operations ResearchIndustrial and Manufacturing Engineering:Teknologi: 500 [VDP]Domain (software engineering)020901 industrial engineering & automationSystematic reviewAnalyticsbusiness
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Consistent Clustering of Elements in Large Pairwise Comparison Matrices

2018

[EN] In multi-attribute decision making the number of decision elements under consideration may be huge, especially for complex, real-world problems. Typically these elements are clustered and then the clusters organized hierarchically to reduce the number of elements to be simultaneously handled. These decomposition methodologies are intended to bring the problem within the cognitive ability of decision makers. However, such methodologies have disadvantages, and it may happen that such a priori clustering is not clear, and/or the problem has previously been addressed without any grouping action. This is the situation for the case study we address, in which a panel of experts gives opinions…

0209 industrial biotechnologyAHP0211 other engineering and technologiesAnalytic hierarchy process02 engineering and technologycomputer.software_genreWater distribution system (WDS)Pairwise comparisonMatrix (mathematics)020901 industrial engineering & automationSettore ING-IND/17 - Impianti Industriali MeccaniciDecomposition (computer science)Cluster (physics)Cluster analysisMathematics021103 operations researchApplied MathematicsManagement and operation of a WDSComputational MathematicsIdentification (information)Miller’s magic number sevenA priori and a posterioriPairwise comparisonData miningMiller's magic number sevenMATEMATICA APLICADAcomputerDecision-making
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Decoupled nonlinear adaptive control of position and stiffness for pneumatic soft robots

2020

This article addresses the problem of simultaneous and robust closed-loop control of joint stiffness and position, for a class of antagonistically actuated pneumatic soft robots with rigid links and compliant joints. By introducing a first-order dynamic equation for the stiffness variable and using the additional control degree of freedom, embedded in the null space of the pneumatic actuator matrix, an innovative control approach is introduced comprising an adaptive compensator and a dynamic decoupler. The proposed solution builds upon existing adaptive control theory and provides a technique for closing the loop on joint stiffness in pneumatic variable stiffness actuators. Under a very mi…

0209 industrial biotechnologyAdaptive controlComputer science02 engineering and technologynull-spaceSoft robotadaptive controlComputer Science::Robotics020901 industrial engineering & automationArtificial IntelligenceControl theoryPosition (vector)0202 electrical engineering electronic engineering information engineeringmedicineElectrical and Electronic Engineeringvariable stiffness actuatorsPneumatic actuatorApplied MathematicsMechanical EngineeringStiffnessNonlinear adaptive controlphysical human–robot interactionantagonistic driveModeling and SimulationJoint stiffnesspneumatic actuatorRobot020201 artificial intelligence & image processingmedicine.symptomSoftware
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Comparison of Model-Based Simultaneous Position and Stiffness Control Techniques for Pneumatic Soft Robots

2020

Soft robots have been extensively studied for their ability to provide both good performance and safe human-robot interaction. In this paper, we present and compare the performance of two model-based control techniques with the common aim to independently and simultaneously control position and stiffness of a pneumatic soft robot’s joint. The dynamic system of a robot arm with flexible joints actuated by a pneumatic antagonistic pair of actuators, so-called McKibben artificial muscles, will be regarded, while its dynamic parameters will be considered imprecise. Simulation results are provided to verify the performance of the algorithms.

0209 industrial biotechnologyAdaptive controlPneumatic actuatorComputer scienceAdaptive controlModel based controlStiffnessAntagonistic drive02 engineering and technologySoft robotsVariable stiffness actuator020901 industrial engineering & automationSettore ING-INF/04 - AutomaticaPosition (vector)Control theoryPneumatic actuator0202 electrical engineering electronic engineering information engineeringmedicineRobot020201 artificial intelligence & image processingArtificial musclemedicine.symptomActuatorRobotic arm
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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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Advances in Practical Applications of Agents, Multi-Agent Systems, and Sustainability: The PAAMS Collection

2015

This volume presents the papers that have been accepted for the 2015 special sessions of the 13th International Conference on Practical Applications of Agents and Multi-Agent Systems, held at University of Salamanca, Spain, at 3rd-5th June, 2015: Agents Behaviours and Artificial Markets (ABAM); Agents and Mobile Devices (AM); Multi-Agent Systems and Ambient Intelligence (MASMAI); Web Mining and Recommender systems (WebMiRes); Learning, Agents and Formal Languages (LAFLang); Agent-based Modeling of Sustainable Behavior and Green Economies (AMSBGE); Emotional Software Agents (SSESA) and Intelligent Educational Systems (SSIES). The volume also includes the paper accepted for the Doctoral Conso…

0209 industrial biotechnologyAmbient intelligenceManagement scienceComputer scienceMulti-agent system02 engineering and technologyRecommender systemComputingMethodologies_ARTIFICIALINTELLIGENCEEngineering management020901 industrial engineering & automationWeb miningSoftware agentSustainability0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingMobile deviceDissemination
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Adaptive Robot Control – An Experimental Comparison

2012

This paper deals with experimental comparison between stable adaptive controllers of robotic manipulators based on Model Based Adaptive, Neural Network and Wavelet -Based control. The above control methods were compared with each other in terms of computational efficiency, need for accurate mathematical model of the manipulator and tracking performances. An original management algorithm of the Wavelet Network control scheme has been designed, with the aim of constructing the net automatically during the trajectory tracking, without the need to tune it to the trajectory itself. Experimental tests, carried out on a planar two link manipulator, show that the Wavelet-Based control scheme, with…

0209 industrial biotechnologyArtificial neural networkComputer sciencelcsh:ElectronicsRobot manipulatorlcsh:TK7800-8360Control engineering02 engineering and technologylcsh:QA75.5-76.95Computer Science ApplicationsRobot control020901 industrial engineering & automationWaveletSettore ING-INF/04 - AutomaticaArtificial Intelligence0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processinglcsh:Electronic computers. Computer scienceSoftwareSimulationRobot control Model‐Based Adaptive control Wavelet based controlInternational Journal of Advanced Robotic Systems
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Surrogate models for the compressive strength mapping of cement mortar materials

2021

Despite the extensive use of mortar materials in constructions over the last decades, there is not yet a robust quantitative method available in the literature, which can reliably predict their strength based on the mix components. This limitation is attributed to the highly nonlinear relation between the mortar’s compressive strength and the mixed components. In this paper, the application of artificial intelligence techniques for predicting the compressive strength of mortars is investigated. Specifically, Levenberg–Marquardt, biogeography-based optimization, and invasive weed optimization algorithms are used for this purpose (based on experimental data available in the literature). The c…

0209 industrial biotechnologyArtificial neural networksbusiness.industryComputer scienceCementCompressive strengthComputational intelligence02 engineering and technologyStructural engineeringSoft computing techniquesTheoretical Computer ScienceMortarSettore ICAR/09 - Tecnica Delle CostruzioniNonlinear system020901 industrial engineering & automationCompressive strength0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingGeometry and TopologyMortarbusinessMetakaolinSoftwareCement mortarSoft Computing
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