Search results for "Robot manipulator"

showing 10 items of 16 documents

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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Teleoperation of industrial robot manipulators based on augmented reality

2020

[EN] This research develops a novel teleoperation for robot manipulators based on augmented reality. The proposed interface is equipped with full capabilities in order to replace the classical teach pendant of the robot for carrying out teleoperation tasks. The proposed interface is based on an augmented reality headset for projecting computer-generated graphics onto the real environment and a gamepad to interact with the computer-generated graphics and provide robot commands. In order to demonstrate the benefits of the proposed method, several usability tests were conducted using a 6R industrial robot manipulator in order to compare the proposed interface and the conventional teach pendant…

0209 industrial biotechnologyCOMUNICACION AUDIOVISUAL Y PUBLICIDADComputer scienceInterface (computing)Robot manipulatorAugmented reality interface02 engineering and technologyIndustrial and Manufacturing Engineeringlaw.inventionIndustrial robot020901 industrial engineering & automationlawHuman–computer interactionGraphicsManipulatorRealitat virtualMixed reality interfacebusiness.industryMechanical EngineeringGuiding industrial robotsUsabilityRoboticsIndustry 4.0INGENIERIA DE SISTEMAS Y AUTOMATICAComputer Science ApplicationsControl and Systems EngineeringTeleoperationRobotAugmented realityIndustrial robot teleoperationArtificial intelligencebusinessRobotsSoftwareThe International Journal of Advanced Manufacturing Technology
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Adding Active Damping to Energy-Efficient Electro-Hydraulic Systems for Robotic Manipulators — Comparing Pressure and Acceleration Feedback

2020

The growing interest in energy efficiency, plug-and-play commissioning, and reduced maintenance for heavy-duty robotic manipulators directs towards self-contained, electro-hydraulic cylinders. These drives are characterized by extremely low damping that causes unwanted oscillations of the mechanical structure. Adding active damping to this class of energy-efficient architectures is essential. Hence, this paper bridges a literature gap by presenting a systematic comparison grounded on a model-based tuning of both pressure and acceleration feedback. It is shown that both approaches increase the system damping hugely and improve the performance of the linear system. Acceleration feedback shoul…

0209 industrial biotechnologyComputer science020209 energyLinear systemRobot manipulatorPressure feedback02 engineering and technologyElectro hydraulicAcceleration020901 industrial engineering & automationControl theory0202 electrical engineering electronic engineering information engineeringHydraulic machineryEfficient energy use2020 5th International Conference on Robotics and Automation Engineering (ICRAE)
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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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Calibration of mobile manipulators using 2D positional features.

2018

International audience; Robotic manipulators are increasingly being attached to Automatic Ground Vehicles (AGVs) to aid in the efficiency of assembly for manufacturing systems. However, calibrating these mobile manipulators is difficult as the offset between the robotic manipulator and the AGV is often unknown. This paper provides a novel, simple, and low-cost method for calibrating and measuring the performance of mobile manipulators by using data collected from a laser retroreflector that digitally detects the horizontal two-dimensional (2D) position of reflectors on an artifact as well as a navigation system that provides the heading angle and 2D position of the AGV. The method is mathem…

0209 industrial biotechnologyOffset (computer science)PoseForm AxRegistrationComputer scienceRobot manipulator02 engineering and technologyBaseArticle03 medical and health sciences[SPI]Engineering Sciences [physics]020901 industrial engineering & automation0302 clinical medicineSensor calibrationOrientationCalibrationYBComputer visionElectrical and Electronic EngineeringInstrumentationRobot-world/hand-eye calibrationClosed form solution Hand-Eye CalibrationSensorbusiness.industryApplied MathematicsNavigation systemSimultaneous Robot-WorldCondensed Matter PhysicsManufacturing systemsHomogeneous Transform EquationsRetroreflector030220 oncology & carcinogenesisSimulated dataXBArtificial intelligenceClosed-form expressionQuaternionsbusinessMeasurement : journal of the International Measurement Confederation
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Comparison of KVP and RSI for Controlling KUKA Robots Over ROS

2020

In this work, an open-source ROS interface based on KUKAVARPROXY for control of KUKA robots is compared to the commercial closed-source Robot Sensor Interface available from KUKA. This comparison looks at the difference in how these two approaches communicate with the KUKA robot controller, the response time and tracking delay one can expect with the different interfaces, and the difference in use cases for the two interfaces. The investigations showed that the KR16 with KRC2 has a 50 ms response time, and RSI has a 120 ms tracking delay, with negligible delay caused by the ROS communication stack. The results highlight that the commercial inferface is more reliable for feedback control tas…

0209 industrial biotechnologySIMPLE (military communications protocol)Computer scienceFeedback controlInterface (computing)020208 electrical & electronic engineeringMotion control systemsRobot controllerResponse time02 engineering and technology020901 industrial engineering & automationRobot manipulatorsControl and Systems EngineeringControl theory0202 electrical engineering electronic engineering information engineeringRobotRobotics technologiesSimulationIFAC-PapersOnLine
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Integrated dimensional and drive-train design optimization of a light-weight anthropomorphic arm

2012

An approach to minimize the mass of robotic manipulators is developed by integrated dimensional and drive-train optimization. The method addresses the influences of dimensions and characteristics of drive-trains in the design optimization. Constraints are formulated on the basis of kinematic performance and dynamic requirements, whereas the main objective is to minimize the total mass. Case studies are included to demonstrate the application of the optimization method in the design of assistive robots.

Computer Science::RoboticsBasis (linear algebra)Control and Systems EngineeringComputer scienceGeneral MathematicsRobot manipulatorDrivetrainKinematicsSoftwareSimulationComputer Science ApplicationsRobotics and Autonomous Systems
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An Application of Iterative Identification and Control in the Robotics Field

2006

The plant model appropriate for designing the control strongly depends on the requirements. Simple models are enough to compute nondemanding controls. The parameters of well-defined structural models of flexible robot manipulators are difficult to determine because their effect is only visible if the manipulator is under strong actions or with high-frequency excitation. Thus, in this chapter, an iterative approach is suggested. This approach is applied to a one-degree-of-freedom flexible robot manipulator, first using some well-known models and then controlling a lab prototype. This approach can be used with a variety of control design and/or identification techniques.

Computer sciencebusiness.industryControl (management)Robot manipulatorRoboticsControl engineeringField (computer science)Variety (cybernetics)Step responseIdentification (information)Simple (abstract algebra)Control theoryArtificial intelligencebusiness
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Contact Estimation in Robot Interaction

2014

In the paper, safety issues are examined in a scenario in which a robot manipulator and a human perform the same task in the same workspace. During the task execution, the human should be able to physically interact with the robot, and in this case an estimation algorithm for both interaction forces and a contact point is proposed in order to guarantee safety conditions. The method, starting from residual joint torque estimation, allows both direct and adaptive computation of the contact point and force, based on a principle of equivalence of the contact forces. At the same time, all the unintended contacts must be avoided, and a suitable post-collision strategy is considered to move the r…

Computer sciencelcsh:ElectronicsRobot manipulatorlcsh:TK7800-8360WorkspaceCollisionlcsh:QA75.5-76.95Computer Science ApplicationsTask (project management)Contact forceinteraction controlSettore ING-INF/04 - AutomaticaArtificial IntelligencePhisical human robot interactionTorqueRobotPoint (geometry)Collision detectionlcsh:Electronic computers. Computer scienceSoftwareSimulationcontact estimationInternational Journal of Advanced Robotic Systems
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An adaptive control law for robotic manipulator without velocity feedback

2003

In this paper, a new adaptive control law is designed for robotic manipulators, based on the use of reference velocities instead of the actual ones and feedback signals generated from position errors. The law in question is suitable for trajectory tracking and positioning tasks. Its peculiarities are implementation without velocity measurements and estimation, high signal-to-noise ratio in control torques and absence of parameter drift in positioning tasks. Experimental tests are shown with the aim to confirm the validity of the control law and to illustrate its actual effects on the behaviour of the system.

EngineeringAdaptive controlbusiness.industryApplied MathematicsControl (management)Robot manipulatorAdaptive controlControl engineeringTracking (particle physics)Computer Science ApplicationsOutput feedbackSettore ING-INF/04 - AutomaticaControl and Systems EngineeringVelocity feedbackPosition (vector)Control theoryLawTrajectoryTorqueElectrical and Electronic EngineeringbusinessRobotic manipulator
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