Search results for "Industrial Biotechnology"

showing 10 items of 730 documents

On Stability of Virtual Torsion Sensor for Control of Flexible Robotic Joints with Hysteresis

2019

Author's accepted manuscript (postprint). This article has been published in a revised form in Robotica, http://doi.org/10.1017/S0263574719001358. This version is free to view and download for private research and study only. Not for re-distribution or re-use. © 2019 Cambridge University Press. Available from 25/03/2020. Aim of the virtual torsion sensor (VTS) is in observing the nonlinear deflection in the flexible joints of robotic manipulators and, by its use, improving positioning control of the joint load. This model-based approach utilizes the motor-side sensing only and, therefore, replaces the load-side encoders at nearly zero hardware costs. For being applied in the closed control …

0209 industrial biotechnologyComputer scienceGeneral Mathematics020208 electrical & electronic engineeringPassivityTorsion (mechanics)02 engineering and technologyComputer Science ApplicationsRobot controlSystem dynamicsNonlinear systemVDP::Teknologi: 500020901 industrial engineering & automationControl and Systems EngineeringControl theoryControl systemJoint stiffness0202 electrical engineering electronic engineering information engineeringmedicinemedicine.symptomEncoderSoftware
researchProduct

Visual contact with catadioptric cameras

2015

Abstract Time to contact or time to collision (TTC) is utmost important information for animals as well as for mobile robots because it enables them to avoid obstacles; it is a convenient way to analyze the surrounding environment. The problem of TTC estimation is largely discussed in perspective images. Although a lot of works have shown the interest of omnidirectional camera for robotic applications such as localization, motion, monitoring, few works use omnidirectional images to compute the TTC. In this paper, we show that TTC can be also estimated on catadioptric images. We present two approaches for TTC estimation using directly or indirectly the optical flow based on de-rotation strat…

0209 industrial biotechnologyComputer scienceGeneral MathematicsComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONOptical flow02 engineering and technologyCatadioptric system020901 industrial engineering & automationOmnidirectional cameraDepth map0202 electrical engineering electronic engineering information engineering[INFO.INFO-RB]Computer Science [cs]/Robotics [cs.RO]Computer visionComputingMilieux_MISCELLANEOUSPixelbusiness.industryPerspective (graphical)[ INFO.INFO-RB ] Computer Science [cs]/Robotics [cs.RO]Mobile robotReal imageComputer Science ApplicationsControl and Systems EngineeringObstacle020201 artificial intelligence & image processingArtificial intelligencebusinessSoftware
researchProduct

Hankelet-based action classification for motor intention recognition

2017

Powered lower-limb prostheses require a natural, and an easy-to-use, interface for communicating amputee’s motor intention in order to select the appropriate motor program in any given context, or simply to commute from active (powered) to passive mode of functioning. To be widely accepted, such an interface should not put additional cognitive load at the end-user, it should be reliable and minimally invasive. In this paper we present a one such interface based on a robust method for detecting and recognizing motor actions from a low-cost wearable sensor network mounted on a sound leg providing inertial (accelerometer, gyrometer and magnetometer) data in real-time. We assume that the sensor…

0209 industrial biotechnologyComputer scienceGeneral MathematicsInterface (computing)Context (language use)02 engineering and technologyAction recognitionLTI system theoryMatrix (mathematics)020901 industrial engineering & automationMatch moving0202 electrical engineering electronic engineering information engineeringMathematics (all)Computer visionObservabilitySettore ING-INF/05 - Sistemi Di Elaborazione Delle Informazionibusiness.industrySystem identificationComputer Science Applications1707 Computer Vision and Pattern RecognitionAction recognition; Motor intention recognition; Powered (active) lower-limb prostheses; Wearable sensor networks; Control and Systems Engineering; Software; Mathematics (all); Computer Science Applications1707 Computer Vision and Pattern RecognitionMotor intention recognitionComputer Science ApplicationsSupport vector machineControl and Systems EngineeringPowered (active) lower-limb prostheseWearable sensor network020201 artificial intelligence & image processingArtificial intelligencebusinessHankel matrixSoftwareRobotics and Autonomous Systems
researchProduct

Underwater Wireless Communications for Cooperative Robotics with UWSim-NET

2019

The increasing number of autonomous underwater vehicles (AUVs) cooperating in underwater operations has motivated the use of wireless communications. Their modeling can minimize the impact of their limited performance in real-time robotic interventions. However, robotic frameworks hardly ever consider the communications, and network simulators are not suitable for HIL experiments. In this work, the UWSim-NET is presented, an open source tool to simulate the impact of communications in underwater robotics. It gathers the benefits of NS3 in modeling communication networks with those of the underwater robot simulator (UWSim) and the robot operating system (ROS) in modeling robotic systems. Thi…

0209 industrial biotechnologyComputer scienceHardware In The LoopReal-time computing02 engineering and technologyUnderwater robotics01 natural scienceslcsh:Technologylcsh:Chemistry020901 industrial engineering & automationWirelessGeneral Materials ScienceUnderwaterInstrumentationComunicació i tecnologialcsh:QH301-705.50105 earth and related environmental sciencesFluid Flow and Transfer Processes010505 oceanographybusiness.industrylcsh:TProcess Chemistry and TechnologyGeneral EngineeringHardware-in-the-loop simulationRoboticsXarxes locals sense fil Wi-Fiunderwater roboticssimulationTelecommunications networklcsh:QC1-999Computer Science Applicationsunderwater communicationslcsh:Biology (General)lcsh:QD1-999Alohalcsh:TA1-2040Artificial intelligencebusinesslcsh:Engineering (General). Civil engineering (General)RobotsUnderwater acoustic communicationlcsh:PhysicsApplied Sciences
researchProduct

Real-time biomechanical modeling of the liver using Machine Learning models trained on Finite Element Method simulations

2020

[EN] The development of accurate real-time models of the biomechanical behavior of different organs and tissues still poses a challenge in the field of biomechanical engineering. In the case of the liver, specifically, such a model would constitute a great leap forward in the implementation of complex applications such as surgical simulators, computed-assisted surgery or guided tumor irradiation. In this work, a relatively novel approach for developing such a model is presented. It consists in the use of a machine learning algorithm, which provides real-time inference, trained on tens of thousands of simulations of the biomechanical behavior of the liver carried out by the finite element me…

0209 industrial biotechnologyComputer scienceINGENIERIA MECANICA02 engineering and technologyMachine learningcomputer.software_genreField (computer science)020901 industrial engineering & automationArtificial IntelligenceEuclidean geometryMachine learning0202 electrical engineering electronic engineering information engineeringFinite element method Real timebusiness.industryWork (physics)General EngineeringCoherent point driftBiomechanical engineeringFinite element methodComputer Science ApplicationsRange (mathematics)Liver020201 artificial intelligence & image processingArtificial intelligenceBiomechanical modelingbusinesscomputer
researchProduct

A methodology for evaluating the flexibility potential of domestic air-conditioning systems

2020

The paper presents a methodology for quantifying the electrical flexibility potential of air-conditioning systems (ACS) installed in residential buildings according to the building envelope characteristics and the ACS performance. In order to provide a thorough analysis of the issue, the ACS baseline consumption referred to the indoor temperature of 24°C has been computed for three typical residential buildings built in the South of Italy over different periods. The baseline consumption was used as a reference to estimate the effect of the set point temperature change on the ACS power profile. The results showed that increasing the set-point temperature of ACS by 2°C and 4°C leads to a redu…

0209 industrial biotechnologyComputer scienceIndoor temperature020209 energyElectrical flexibility02 engineering and technologyDemand responseSet (abstract data type)Thermostat020901 industrial engineering & automation0202 electrical engineering electronic engineering information engineeringBaseline (configuration management)Grid securityConsumption (economics)Flexibility (engineering)business.industryElectrical consumptionResidential buildingElectric load managementReliability engineeringPower (physics)Settore ING-IND/33 - Sistemi Elettrici Per L'EnergiaSettore ING-IND/31 - ElettrotecnicaAir conditioningBuilding envelopeAir conditioningHousingSet-point temperaturesbusinessDemand response programBuilding envelope
researchProduct

End-to-end congestion control protocols for remote programming of robots, using heterogeneous networks: A comparative analysis

2008

There are many interesting aspects of Internet Telerobotics within the network robotics context, such as variable bandwidth and time-delays. Some of these aspects have been treated in the literature from the control point of view. Moreover, only a little work is related to the way Internet protocols can help to minimize the effect of delay and bandwidth fluctuation on network robotics. In this paper, we present the capabilities of TCP, UDP, TCP Las Vegas, TEAR, and Trinomial protocols, when performing a remote experiment within a network robotics application, the UJI Industrial Telelaboratory. Comparative analysis is presented through simulations within the NS2 platform. Results show how th…

0209 industrial biotechnologyComputer scienceIndustrial robotics telelaboratoryNetworked robotsGeneral Mathematics02 engineering and technologyE-learningInternet congestion control protocolIngeniería Industriallaw.invention020901 industrial engineering & automationlawInternet Protocol0202 electrical engineering electronic engineering information engineeringbusiness.industry020208 electrical & electronic engineeringNetwork traffic controlComputer Science ApplicationsNetwork congestionControl and Systems EngineeringRobotElectrónicaThe InternetTeleroboticsbusinessSoftwareHeterogeneous networkComputer networkRobotics and Autonomous Systems
researchProduct

Using the Analytic Hierarchy Process (AHP) and fuzzy logic to evaluate the possibility of introducing single point incremental forming on industrial …

2018

Abstract Single point incremental forming (SPIF) is a promising forming process, yet not entirely accepted and implemented on industrial scale, due to several reasons, presented in the paper. The approach presented here develops an evaluation method for the degree of its industrial implementation. Several factors which will favor the industrial implementation of ASPIF are identified and their weights are hierarchized by means of AHP. To assess the robustness of the AHP, a sensitivity analysis was also presented. Furthermore, a fuzzy inference system was built, having as output the degree of industrial implementation of SPIF.

0209 industrial biotechnologyComputer scienceIndustrial scaleForming processesAnalytic hierarchy process02 engineering and technologyFuzzy logicIndustrial engineering020901 industrial engineering & automationRobustness (computer science)0202 electrical engineering electronic engineering information engineeringGeneral Earth and Planetary Sciences020201 artificial intelligence & image processingSensitivity (control systems)Single pointGeneral Environmental ScienceProcedia Computer Science
researchProduct

A non-stationary relay-based 3D MIMO channel model with time-variant path gains for human activity recognition in indoor environments

2021

AbstractExtensive research showed that the physiological response of human tissue to exposure to low-frequency electromagnetic fields is the induction of an electric current in the body segments. As a result, each segment of the human body behaves as a relay, which retransmits the radio-frequency (RF) signal. To investigate the impact of this phenomenon on the Doppler characteristics of the received RF signal, we introduce a new three-dimensional (3D) non-stationary channel model to describe the propagation phenomenon taking place in an indoor environment. Here, the indoor space is equipped with a multiple-input multiple-output (MIMO) system. A single person is moving in the indoor space an…

0209 industrial biotechnologyComputer scienceMIMO020206 networking & telecommunications02 engineering and technologySignalVDP::Matematikk og Naturvitenskap: 400::Informasjons- og kommunikasjonsvitenskap: 420Power (physics)law.inventionsymbols.namesake020901 industrial engineering & automationRelaylawPath (graph theory)0202 electrical engineering electronic engineering information engineeringsymbolsElectronic engineeringSpectrogramRadio frequencyElectrical and Electronic EngineeringDoppler effect
researchProduct

Adaptive Neural Control of MIMO Nonstrict-Feedback Nonlinear Systems with Time Delay

2016

In this paper, an adaptive neural output-feedback tracking controller is designed for a class of multiple-input and multiple-output nonstrict-feedback nonlinear systems with time delay. The system coefficient and uncertain functions of our considered systems are both unknown. By employing neural networks to approximate the unknown function entries, and constructing a new input-driven filter, a backstepping design method of tracking controller is developed for the systems under consideration. The proposed controller can guarantee that all the signals in the closed-loop systems are ultimately bounded, and the time-varying target signal can be tracked within a small error as well. The main con…

0209 industrial biotechnologyComputer scienceMIMOAdaptive trackingoutput-feedback controller02 engineering and technologyNonlinear controlmultiple-input and multiple-output (MIMO)020901 industrial engineering & automationControl theoryAdaptive system0202 electrical engineering electronic engineering information engineeringElectrical and Electronic EngineeringArtificial neural networkControl engineeringComputer Science Applications1707 Computer Vision and Pattern RecognitionFilter (signal processing)neural networksComputer Science ApplicationsHuman-Computer InteractionNonlinear systemControl and Systems EngineeringBackstepping020201 artificial intelligence & image processingAdaptive tracking; multiple-input and multiple-output (MIMO); neural networks; output-feedback controller; Control and Systems Engineering; Software; Information Systems; Human-Computer Interaction; Computer Science Applications1707 Computer Vision and Pattern Recognition; Electrical and Electronic EngineeringSoftwareInformation Systems
researchProduct