Search results for "Dynamic environment"

showing 6 items of 6 documents

Making Industrial Robots Smarter with Adaptive Reasoning and Autonomous Thinking for Real-Time Tasks in Dynamic Environments: A Case Study

2018

In order to extend the abilities of current robots in industrial applications towards more autonomous and flexible manufacturing, this work presents an integrated system comprising real-time sensing, path-planning and control of industrial robots to provide them with adaptive reasoning, autonomous thinking and environment interaction under dynamic and challenging conditions. The developed system consists of an intelligent motion planner for a 6 degrees-of-freedom robotic manipulator, which performs pick-and-place tasks according to an optimized path computed in real-time while avoiding a moving obstacle in the workspace. This moving obstacle is tracked by a sensing strategy based on ma-chin…

0209 industrial biotechnologyAdaptive reasoningMachine visionbusiness.industryComputer scienceTReal-time computingRobotics02 engineering and technologyWorkspaceMachine visionRobot control020901 industrial engineering & automationDynamic environmentObstacle0202 electrical engineering electronic engineering information engineeringAdaptive reasoningRobot020201 artificial intelligence & image processingArtificial intelligenceMotion planningbusinessPath planningRobot control
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Simple learning rules to cope with changing environments

2008

10 pages; International audience; We consider an agent that must choose repeatedly among several actions. Each action has a certain probability of giving the agent an energy reward, and costs may be associated with switching between actions. The agent does not know which action has the highest reward probability, and the probabilities change randomly over time. We study two learning rules that have been widely used to model decision-making processes in animals-one deterministic and the other stochastic. In particular, we examine the influence of the rules' 'learning rate' on the agent's energy gain. We compare the performance of each rule with the best performance attainable when the agent …

0106 biological sciencesError-driven learningExploitComputer scienceEnergy (esotericism)Biomedical EngineeringBiophysicsBioengineeringanimal behavior010603 evolutionary biology01 natural sciencesBiochemistryMulti-armed banditModels Biologicaldecision makingBiomaterials03 medical and health sciences[ INFO.INFO-BI ] Computer Science [cs]/Bioinformatics [q-bio.QM][ SDV.EE.IEO ] Life Sciences [q-bio]/Ecology environment/SymbiosisAnimalsLearningComputer Simulation[ SDV.BIBS ] Life Sciences [q-bio]/Quantitative Methods [q-bio.QM]multi-armed banditEcosystem030304 developmental biologySimple (philosophy)0303 health sciences[ SDE.BE ] Environmental Sciences/Biodiversity and Ecologybusiness.industrydynamic environmentslearning rulesdecision-making[SDV.BIBS]Life Sciences [q-bio]/Quantitative Methods [q-bio.QM]Unlimited periodRange (mathematics)Action (philosophy)Artificial intelligence[SDE.BE]Environmental Sciences/Biodiversity and Ecology[INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM]businessBiotechnologyResearch Article[SDV.EE.IEO]Life Sciences [q-bio]/Ecology environment/Symbiosis
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Decentralized Lightweight Group Key Management for Dynamic Access Control in IoT Environments

2020

Rapid growth of Internet of Things (IoT) devices dealing with sensitive data has led to the emergence of new access control technologies in order to maintain this data safe from unauthorized use. In particular, a dynamic IoT environment, characterized by a high signaling overhead caused by subscribers' mobility, presents a significant concern to ensure secure data distribution to legitimate subscribers. Hence, for such dynamic environments, group key management (GKM) represents the fundamental mechanism for managing the dissemination of keys for access control and secure data distribution. However, existing access control schemes based on GKM and dedicated to IoT are mainly based on ce…

PROTOCOLSCRYPTOGRAPHYComputer Networks and CommunicationsComputer scienceGROUP COMMUNICATIONKey distributionCore networkRESEAU INFORMATIQUEAccess control02 engineering and technologySCALABILITYTECHNOLOGIE SANS FIL[SPI]Engineering Sciences [physics][INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI]TELECOMMUNICATIONForward secrecy0202 electrical engineering electronic engineering information engineeringRekeyingINTERNET OF THINGSElectrical and Electronic EngineeringINTERNETSECURITEDYNAMIC ENVIRONMENTSECURITYIOTTRAITEMENT DES DONNEESbusiness.industryKey distribution center020206 networking & telecommunicationsWIRELESS SENSOR NETWORKSRESEAU DE TELECOMMUNICATIONSGROUP KEY MANAGEMENTINFORMATIQUECommunication in small groupsScalabilityARCHITECTURE CLIENT-SERVEURbusinessCOMPUTER ARCHITECTUREACCESS CONTROLComputer network
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Adapting to Dynamic LEO-B5G Systems : Meta-Critic Learning Based Efficient Resource Scheduling

2022

Low earth orbit (LEO) satellite-assisted communications have been considered as one of key elements in beyond 5G systems to provide wide coverage and cost-efficient data services. Such dynamic space-terrestrial topologies impose exponential increase in the degrees of freedom in network management. In this paper, we address two practical issues for an over-loaded LEO-terrestrial system. The first challenge is how to efficiently schedule resources to serve the massive number of connected users, such that more data and users can be delivered/served. The second challenge is how to make the algorithmic solution more resilient in adapting to dynamic wireless environments.To address them, we first…

Signal Processing (eess.SP)FOS: Computer and information sciencesdynamic environmentComputer Science - Machine Learningreinforcement learningmeta-critic learningComputer Science - Artificial Intelligence5G-tekniikkaresursointiMachine Learning (cs.LG): Electrical & electronics engineering [C06] [Engineering computing & technology]LEO satelliteslangaton tiedonsiirtoresources allocationalgoritmitFOS: Electrical engineering electronic engineering information engineeringElectrical and Electronic EngineeringElectrical Engineering and Systems Science - Signal Processing: Ingénierie électrique & électronique [C06] [Ingénierie informatique & technologie]Applied MathematicstietoliikennesatelliititComputer Science ApplicationsArtificial Intelligence (cs.AI)koneoppiminenresource schedulinglangattomat verkot
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ENTREPRENEURIAL AND REGIONAL GROWTH ACTIVITY IN FINLAND

2010

Audretsch & Feldman (2004) argue that an agglomeration is a collection of localized firms with a common focus. As firms thrive, resources are attracted to the region. They state that, if entrepreneurship serves as a mechanism for knowledge spillovers, measures of entrepreneurial activity should be linked positively to regional growth performance. In Schumpeterian economics the engine of economic development is entrepreneurial innovation. Creative destruction makes way for new innovations and growth. In this study, we simultaneously examine the regional entrepreneurial activity and regional growth activity in Finland. A further aim of the study was to find out if entrepreneurial activit…

Dynamic environment entrepreneurial activity growth activity regional specializationEntrepreneurshipCreative destructionEconomies of agglomerationEconomicsEconomic geographyEconomic systemJournal of Enterprising Culture
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Smart sensing and adaptive reasoning for enabling industrial robots with interactive human-robot capabilities in dynamic environments — a case study

2019

Traditional industry is seeing an increasing demand for more autonomous and flexible manufacturing in unstructured settings, a shift away from the fixed, isolated workspaces where robots perform predefined actions repetitively. This work presents a case study in which a robotic manipulator, namely a KUKA KR90 R3100, is provided with smart sensing capabilities such as vision and adaptive reasoning for real-time collision avoidance and online path planning in dynamically-changing environments. A machine vision module based on low-cost cameras and color detection in the hue, saturation, value (HSV) space is developed to make the robot aware of its changing environment. Therefore, this vision a…

0209 industrial biotechnologyComputer scienceMachine visionTKReal-time computingRobot manipulator02 engineering and technologyWorkspaceAdaptive Reasoninglcsh:Chemical technologyBiochemistryHuman–robot interactionArticleAnalytical ChemistrySettore ING-IND/14 - Progettazione Meccanica E Costruzione Di Macchinehuman-robot interaction020901 industrial engineering & automation0202 electrical engineering electronic engineering information engineeringlcsh:TP1-1185Motion planningElectrical and Electronic EngineeringInstrumentationpath planningCollision avoidancerobot controlsmart sensingAdaptive reasoningdynamic environmentsAtomic and Molecular Physics and OpticsRobot control:Engineering::Mechanical engineering [DRNTU]ObstacleDynamic EnvironmentsRobot020201 artificial intelligence & image processingadaptive reasoning
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