1992
DOI: 10.1109/70.149944
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A complete and parametrically continuous kinematic model for robot manipulators

Abstract: A new kinematic modeling convention for robot manipulators is proposed. The kinematic model is termed after its "completeness and parametric continuity" (CPC) properties. Parametric continuity of the CPC model is achieved by adopting a singularity-free line representation consisting of four line parameters. Completeness is achieved through adding two link parameters to allow arbitrary placement of link coordinate frames. The transformations from the world frame to the base frame and from the last link frame to… Show more

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Cited by 185 publications
(89 citation statements)
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“…Then, a second stage is used to estimate three parameters: the depth component in the translation vector, the effective focal length, and the radial distortion coefficient. The RAC model is recognized as a good compromise between accuracy and simplicity, which means short processing time (Zhuang & Roth, 1996). Some few modifications were introduced here in the original RAC algorithm, and will be explained later.…”
Section: A Vision-based Measurement Systemmentioning
confidence: 99%
See 3 more Smart Citations
“…Then, a second stage is used to estimate three parameters: the depth component in the translation vector, the effective focal length, and the radial distortion coefficient. The RAC model is recognized as a good compromise between accuracy and simplicity, which means short processing time (Zhuang & Roth, 1996). Some few modifications were introduced here in the original RAC algorithm, and will be explained later.…”
Section: A Vision-based Measurement Systemmentioning
confidence: 99%
“…54), Ty and Tx. The algorithm for that is found in Zhuang & Roth (1996) and Tsai (1987): The second stage is proposed here as…”
Section: Rac-based Camera Modelmentioning
confidence: 99%
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“…The large majority of them compensate for position errors in the kinematic model [16,17,18] and few are considered modeless methods that use mathematical regression modelling of the errors or neural networks, but with the disadvantage of needing a large number of sample measurements [19,20,21]. Currently, robot calibration is still an active area of research [22].…”
Section: Introductionmentioning
confidence: 99%