2016 IEEE International Conference on Robotics and Automation (ICRA) 2016
DOI: 10.1109/icra.2016.7487630
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Elasto-geometrical calibration of an industrial robot under multidirectional external loads using a laser tracker

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Cited by 47 publications
(15 citation statements)
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“…A recent development in this subject is elasto-geometrical calibration proposed in (Kamali et al, 2016). This approach used end-effector positional data acquired by a laser tracker to identify parameters related with joint stiffness and errors.…”
Section: Introductionmentioning
confidence: 99%
“…A recent development in this subject is elasto-geometrical calibration proposed in (Kamali et al, 2016). This approach used end-effector positional data acquired by a laser tracker to identify parameters related with joint stiffness and errors.…”
Section: Introductionmentioning
confidence: 99%
“…It is noted that the research issues in level-1 and level-2 calibrations have drawn close attention in the past two decades [2]- [5]. To further enhance the robot accuracy, some researchers [6]- [11] have attempted to tackle the issues of the complex level-3 calibration, which involve the parameter identification with geometric and non-geometric errors of industrial robots, to meet the demand for higher precision. For example, Jang et al [6] and Zhou et al [9] proposed a similar method to consider not just the kinematic model but also joint stiffness model using linear torsional spring to compensate the positioning errors.…”
Section: Introductionmentioning
confidence: 99%
“…The process was performed using high-order Chebyshev polynomials to represent individual error terms and a laser tracker system to acquire the measured data. Laser tracker systems are often used in studies of kinematic error calibration of series and parallel robots (Abderrahim et al, 2006;Kamali et al, 2016;Sun et al, 2016). Yu and Xi (2018) presented a self-calibration method based on measuring the centers of four spherical calibration targets located around the inspecting system.…”
Section: Introductionmentioning
confidence: 99%