Computational Kinematics 2009
DOI: 10.1007/978-3-642-01947-0_17
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Optimal Kinematic Calibration of Robots Based on Maximum Positioning-Error Estimation (Theory and Application to a Parallel-Mechanism Pipe Bender)

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Cited by 11 publications
(8 citation statements)
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“…It evaluates the ability to compensate the compliance errors for given test pose. Similar approach for geometrical calibration has been used in [25].…”
Section: Test-pose Based Approach For Calibration Of Elastostatic Parmentioning
confidence: 99%
See 1 more Smart Citation
“…It evaluates the ability to compensate the compliance errors for given test pose. Similar approach for geometrical calibration has been used in [25].…”
Section: Test-pose Based Approach For Calibration Of Elastostatic Parmentioning
confidence: 99%
“…where Ci l and Si l can be computed similar to (19). So, the information matrix can be computed as (25) where m is the number of experiments and 11 22 33 23 ,…”
Section: Elastostatic Parameters Calibration For An Anthropomorphic Mmentioning
confidence: 99%
“…The concept of the manipulator test pose [8] is introduced in this section for the case when the machining configuration does not have significant changes (in pick and place application and machining of small trajectories, for instance). In this particular case, it is assumed that the quality of the calibration is evaluated for the so-called test configuration.…”
Section: Performance Measure Based On a Single Test Posementioning
confidence: 99%
“…Xu et al, (2003) proposed a general kinematics modeling method for the robot structural error analysis. Based on a linear relationship between output errors and measured parameter errors, J Imoto et al (2009) proposed an analytical method to estimate output position errors and obtain error evaluation indicators after calibrating to optimize the kinematics calibration conditions. Santolaria et al, (2012) analyzed the uncertainty of calibration results by using circle point analysis in the calibration process of the robot based on the Monte Carlo method.…”
Section: Introductionmentioning
confidence: 99%