Search results for "robot control"

showing 10 items of 25 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
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A CONTROL LAW FOR ROBOTIC MANIPULATORS BASED ON A FILTERED SIGNAL TO GENERATE PD ACTION AND VELOCITY ESTIMATES

2007

This paper deals with an adaptive control law for robotic manipulators based on a filtered signal to generate both the PD action and velocity estimates of the joints, suitable for trajectory tracking tasks, with the particular aim of reducing the harmonic content of the mechanical torques developed at the joints and thus avoiding excitation of unmodelled dynamics and instability. The practical aspects relative to the implementation of the control law are considered as relevant and, consequently, are detailed. In particular, several methods suitable to compute velocity estimates are discussed and compared with the method described in the paper. All of the above methods are illustrated by mea…

EngineeringAdaptive controlbusiness.industryDynamics (mechanics)Adaptive controlControl engineeringTracking (particle physics)SignalAction (physics)Settore ING-INF/04 - AutomaticaControl theoryLawTrajectoryHarmonicTorquebusinessrobot controlInternational Journal of Robotics and Automation
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Off-line Programming and simulation for automatic robot control software generation

2007

In this paper an off-line programming approach for welding robots is presented. The approach is based on the integration of a software tool for robot simulation and an user-friendly interface for automatic generation of the control program. The user can graphically arrange the components in a robotic work-cell and simulate the movements and operations of robotic arms before converting motions and operating sequences in controller-specific tasks. This methodology guarantees high level of flexibility of the robotic system when high variety of work-pieces needs to be welded. The approach has been implemented and tested in a real welding work-cell.

Computer scienceInterface (computing)ComputerApplications_COMPUTERSINOTHERSYSTEMSControl engineeringWeldingComputer simulationControl system analysisRobot applicationsRobotic armsSettore ING-IND/35 - Ingegneria Economico-GestionaleRobot controllaw.inventionRobot weldinglawRobotUser interfaceAutomatic programmingRobotic armSettore ING-IND/16 - Tecnologie E Sistemi Di LavorazioneSimulation
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The economic metaphor of Italian politics for dynamic coalition regeneration in the robocup competition of Aibo robots

2005

The variation version of the economic metaphor of Italian politics, an architecture that loosely takes inspiration from the political organizations of democratic governments, following the example of Italian government, and which provides a solution for the coordination of a spare colony of robots, is competent to allow the coordination of the behaviors of a team of four robots in order to play soccer in the Robocup competition. The development of an evolution of economic metaphor of Italian politics is now outlined. This new approach proposes a mechanism to make a new coalition caused by the failure of the government strategy and by a general inefficiency of the whole colony during the rea…

Robot kinematicsEngineeringProcess managementbusiness.industryMulti-agent systemOffensiveMobile robotRobot controlCompetition (economics)RobotAIBOArtificial intelligenceRobocup Competitioneconomic politicsbusiness
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Flexible integration of robotics, ultrasonics and metrology for the inspection of aerospace components

2016

The performance of modern robotic manipulators has allowed research in recent years, for the development of fast automated non-destructive testing (NDT) of complex geometries. Contemporary robots are well suited for their accuracy and flexibility when adapting to new tasks. Several robotic inspection prototype systems and a number of commercial products have been created around the world. This paper describes the latest progress of a new phase of the research applied to a composite aerospace component of size 1 by 3 metres. A multi robot flexible inspection cell was used to take the fundamental research and the feasibility studies to higher technology readiness levels, all set for future in…

0209 industrial biotechnologyEngineeringTK02 engineering and technologyMetrologyPhased array ultrasonicsSettore ING-IND/14 - Progettazione Meccanica E Costruzione Di Macchine020901 industrial engineering & automationSoftwareData acquisitionUltrasonicsAerospaceSimulationSystem integrationbusiness.industryPayloadInspectionRoboticsControl engineeringRobotics021001 nanoscience & nanotechnologyRobot controlRobotArtificial intelligence0210 nano-technologybusinessAerospace componentsAIP Conference Proceedings
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A cognitive approach to goal-level imitation

2008

Imitation in robotics is seen as a powerful means to reduce the complexity of robot programming. It allows users to instruct robots by simply showing them how to execute a given task. Through imitation robots can learn from their environment and adapt to it just as human newborns do. Despite different facets of imitative behaviours observed in humans and higher primates, imitation in robotics has usually been implemented as a process of copying demonstrated actions onto the movement apparatus of the robot. While the results being reached are impressive, we believe that a shift towards a higher expression of imitation, namely the comprehension of human actions and inference of its intentions…

Linguistics and LanguageKnowledge representation and reasoningbusiness.industryCommunicationmedia_common.quotation_subjectImitative learningRoboticsLanguage and LinguisticsRobot controlHuman-Computer InteractionAction (philosophy)Human–computer interactionRobotAnimal Science and ZoologyArtificial intelligenceCognitive imitationImitationbusinessPsychologymedia_commonInteraction Studies
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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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Using the Microcontroller and the PLC in a RPP Robot Control

2012

This paper presents some aspects regarding the possibility of combining microcontroller and programmable logic controller (PLC) for robot control. The RPP robot is designed and manufactured within the Faculty of Engineering from “Lucian Blaga” University of Sibiu, as a patent: BRAŢ TELESCOPIC, Nr. 112418 B1, Int.CI.6 B 25 J 18/02, from 17.02.1997. Classical systems for programming and control of industrial robot are based on numerical control equipment, developed around a PC. Programmable Logic Controllers (PLC) haves proven to be viable alternatives to driving machine tools, industrial systems and Robots. Microcontrollers as computers offer advantage due to programmable inputs and outputs …

Engineeringbusiness.product_categorybusiness.industrySimatic S5 PLCGeneral EngineeringProgrammable logic controllerControl engineeringlaw.inventionMachine toolRobot controlIndustrial robotMicrocontrollerlawNumerical controlRobotbusinessComputer hardwareAdvanced Materials Research
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A Neural Multi-Agent Architecture for an Autonomous Mobile Robot Control

1999

The aim of this paper is to introduce a multi-agent architecture for an autonomous robot control oriented to obtain high design modularity and high parallelism of decision processes. A multi-agent approach allows us to design several specialized agents and each of them is optimized in order to solve a single part of the whole task. Each agent is able to cooperate with other agent exchanging information, so the robot is able to make the appropriate policy of management to reach a prefixed goal. We tested the proposed architecture with a simple application: an autonomous mobile robot performs object retrieval tasks into unknown structured environments. The robot is not given a priori map of t…

Task (computing)Engineeringbusiness.industryEmbedded systemDistributed computingRobotMobile robotObject (computer science)businessAutonomous robotAgent architectureModularityRobot control
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OMNI-DRL: Learning to Fly in Forests with Omnidirectional Images

2022

Perception is crucial for drone obstacle avoidance in complex, static, and unstructured outdoor environments. However, most navigation solutions based on Deep Reinforcement Learning (DRL) use limited Field-Of-View (FOV) images as input. In this paper, we demonstrate that omnidirectional images improve these methods. Thus, we provide a comparative benchmark of several visual modalities for navigation: ground truth depth, ground truth semantic segmentation, and RGB images. These exhaustive comparisons reveal that it is superior to use an omnidirectional camera to navigate with classical DRL methods. Finally, we show in two different virtual forest environments that adapting the convolution to…

Perception and sensingDeep Reinforcement LearningControl and Systems EngineeringMobile robots and vehicles[INFO.INFO-RB] Computer Science [cs]/Robotics [cs.RO]Omnidirectional sensorsLearning robot control
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