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Stiffness Identification sentence examples within Object Stiffness Identification
Further, a three-stage algorithm for object stiffness identification and adaptive grasping is proposed and evaluated, and grasping evaluation based on the Cutkosky taxonomy with additional deformable object lifting operation and piano manipulation is carried out.
Further, a three-stage algorithm for object stiffness identification and adaptive grasping is proposed and evaluated, and grasping evaluation based on the Cutkosky taxonomy with additional deformable object lifting operation and piano manipulation is carried out.
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The concept was implemented and validated on a proprietary robotic gripper with a linear soft pneumatic actuator, demonstrating the capability in simultaneous detection of actuator position and external contact forceAfter the proposed approach, the gripper can achieve both active and passive mechanosensation, with demonstrated experiments in grasping force estimation, contact loss detection, object stiffness identification, and contour measurements.
The concept was implemented and validated on a proprietary robotic gripper with a linear soft pneumatic actuator, demonstrating the capability in simultaneous detection of actuator position and external contact forceAfter the proposed approach, the gripper can achieve both active and passive mechanosensation, with demonstrated experiments in grasping force estimation, contact loss detection, object stiffness identification, and contour measurements.
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Stiffness Identification sentence examples within stiffness identification method
In this paper, system support stiffness model and system dynamics model of micro-turbine bearing-rotor system test rig are built to obtain the bearing stiffness identification method by model simplification based on modal theory.
In this paper, system support stiffness model and system dynamics model of micro-turbine bearing-rotor system test rig are built to obtain the bearing stiffness identification method by model simplification based on modal theory.
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Since the methods adopted by other researchers for parameter identification are impracticable, a beam-end stiffness identification method which combines in situ measurements for the structure’s global dynamic properties with effective multi-variable optimization methods is utilized to improve the accuracy of established finite element models.
Since the methods adopted by other researchers for parameter identification are impracticable, a beam-end stiffness identification method which combines in situ measurements for the structure’s global dynamic properties with effective multi-variable optimization methods is utilized to improve the accuracy of established finite element models.
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10.1016/J.MECHMACHTHEORY.2020.104176
Stiffness identification is an important step in this.
Stiffness identification is an important step in this.
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10.1016/j.mechmachtheory.2020.104210
Further, a three-stage algorithm for object stiffness identification and adaptive grasping is proposed and evaluated, and grasping evaluation based on the Cutkosky taxonomy with additional deformable object lifting operation and piano manipulation is carried out.
Further, a three-stage algorithm for object stiffness identification and adaptive grasping is proposed and evaluated, and grasping evaluation based on the Cutkosky taxonomy with additional deformable object lifting operation and piano manipulation is carried out.
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10.1088/1757-899X/1081/1/012012
In this paper, system support stiffness model and system dynamics model of micro-turbine bearing-rotor system test rig are built to obtain the bearing stiffness identification method by model simplification based on modal theory.
In this paper, system support stiffness model and system dynamics model of micro-turbine bearing-rotor system test rig are built to obtain the bearing stiffness identification method by model simplification based on modal theory.
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10.1109/ACCESS.2021.3073671
A number of factors influence the accuracy of joint stiffness identification, especially robotic posture.
A number of factors influence the accuracy of joint stiffness identification, especially robotic posture.
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10.1016/J.MECHATRONICS.2021.102513
One key step in the force and moment compensation is the stiffness identification of the docking mechanism.
One key step in the force and moment compensation is the stiffness identification of the docking mechanism.
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10.1016/j.jbiomech.2021.110321
Recently, the LESI (local extensional stiffness identification) methodology has been established to quantify non-invasively local stiffness properties of ATAAs using electrocardiographic-gated computed tomography (ECG-gated CT) scans.
Recently, the LESI (local extensional stiffness identification) methodology has been established to quantify non-invasively local stiffness properties of ATAAs using electrocardiographic-gated computed tomography (ECG-gated CT) scans.
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10.1177/1369433218788584
Since the methods adopted by other researchers for parameter identification are impracticable, a beam-end stiffness identification method which combines in situ measurements for the structure’s global dynamic properties with effective multi-variable optimization methods is utilized to improve the accuracy of established finite element models.
Since the methods adopted by other researchers for parameter identification are impracticable, a beam-end stiffness identification method which combines in situ measurements for the structure’s global dynamic properties with effective multi-variable optimization methods is utilized to improve the accuracy of established finite element models.
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10.1080/10402004.2018.1492057
In addition, simulations and experiments were carried out to verify the effectiveness of the genetic algorithm–based stiffness identification method.
In addition, simulations and experiments were carried out to verify the effectiveness of the genetic algorithm–based stiffness identification method.
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10.1089/soro.2018.0135
The concept was implemented and validated on a proprietary robotic gripper with a linear soft pneumatic actuator, demonstrating the capability in simultaneous detection of actuator position and external contact forceAfter the proposed approach, the gripper can achieve both active and passive mechanosensation, with demonstrated experiments in grasping force estimation, contact loss detection, object stiffness identification, and contour measurements.
The concept was implemented and validated on a proprietary robotic gripper with a linear soft pneumatic actuator, demonstrating the capability in simultaneous detection of actuator position and external contact forceAfter the proposed approach, the gripper can achieve both active and passive mechanosensation, with demonstrated experiments in grasping force estimation, contact loss detection, object stiffness identification, and contour measurements.
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10.1109/ACCESS.2019.2939480
A cable-driven manipulator (CDM) has low stiffness and its stiffness identification is a critical issue.
A cable-driven manipulator (CDM) has low stiffness and its stiffness identification is a critical issue.
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10.1109/MHS48134.2019.9249349
After formulating the rod stiffness identification problem based on the rod theory, we consider the problem to identifying a spring constant of one degree-of-freedom (DOF) spring, and show a reasonable solution in an optimal manner based on the force balance equation as the simplest example of stiffness identification.
After formulating the rod stiffness identification problem based on the rod theory, we consider the problem to identifying a spring constant of one degree-of-freedom (DOF) spring, and show a reasonable solution in an optimal manner based on the force balance equation as the simplest example of stiffness identification.
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10.1117/12.2511968
Finally, a stiffness identification experiment and a modal analysis experiment are conducted to test the 2-DOF stiffness of a single half-cartwheel flexure hinge and the natural frequency of the H-drive precision stage.
Finally, a stiffness identification experiment and a modal analysis experiment are conducted to test the 2-DOF stiffness of a single half-cartwheel flexure hinge and the natural frequency of the H-drive precision stage.
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10.1007/978-3-030-29227-0_26
This paper presents an approach for stiffness identification of node joints of a large-scale truss bridge (Nam O Bridge in Vietnam) based on vibration measurements and model updating.
This paper presents an approach for stiffness identification of node joints of a large-scale truss bridge (Nam O Bridge in Vietnam) based on vibration measurements and model updating.
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Keywords related to Stiffness
Stiffness Evaluation
Stiffness Assessment
Stiffness Actuators
Stiffness Anisotropy
Stiffness Behavior
Stiffness Regulates
Stiffness Degradation
Stiffness Estimation
Stiffness Across
Stiffness Nonlinear
Stiffness Parameters
Stiffness Improvement
Stiffness Soft
Stiffness Tuning
Stiffness Measured
Stiffness Indices
Stiffness Associated
Stiffness Caused
Stiffness Measures
Stiffness Calculation
Stiffness Distribution
Stiffness Loss
Stiffness Method
Stiffness Damped
Stiffness Elastic
Stiffness Approach
Stiffness Elements
Stiffness Change
Stiffness Gradients
Stiffness Modulates
Stiffness Air
Stiffness Devices
Stiffness Strength
Stiffness Matrices
Stiffness Properties
Stiffness Diagnosis
Stiffness Isolator
Stiffness Reduction
Stiffness Composites
Stiffness Maximization
Stiffness Damper
Stiffness Coefficients
Stiffness Constraints
Stiffness Influences
Stiffness Mediates
Stiffness Composite
Stiffness Model
Stiffness Tuned
Stiffness Structure
Stiffness Perception
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Keywords related to Identification
Facilitate Identification
Wireless Identification
Phenotype Identification
Materials Identification
Ligand Identification
Mimo Identification
Service Identification
Remote Identification
Isomer Identification
Mci Identification
Gland Identification
Material Identification
Parametric Identification
Pattern Identification
Screening Identification
Task Identification
Numerical Identification
Organizational Identification
Timely Identification
Camera Identification
Correct Identification
Vessel Identification
Rna Identification
Fracture Identification
Biomarkers Identification
Children Identification
Part Identification
Qtl Identification
Structures Identification
Blind Identification
Function Identification
Nonparametric Identification
Voice Identification
Employee Customer Identification
Boundary Identification
Frame Identification
Conditions Identification
Nerve Identification
Radiological Identification
Proteome Wide Identification
Genome Wide Identification
Selective Identification
Radiofrequency Identification
Region Identification
Classification Identification
Simultaneous Identification
Response Identification
Strain Identification
Patients Identification
Mechanism Identification
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Stiffness Identification
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