2009 International Workshop on Intelligent Systems and Applications 2009
DOI: 10.1109/iwisa.2009.5072953
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Methods of Generating Robot Spraying Trajectory Based on Shoe Sole Information

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Cited by 5 publications
(3 citation statements)
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“…Step 3. According to the principal component analysis(PCA), the normal vector n makes the most concentrated distribution of the projected points of all neighborhood points on the normal vector n, i.e., it satisfies (14).…”
Section: Roughening Posture (Normal Vector) Calculationmentioning
confidence: 99%
See 1 more Smart Citation
“…Step 3. According to the principal component analysis(PCA), the normal vector n makes the most concentrated distribution of the projected points of all neighborhood points on the normal vector n, i.e., it satisfies (14).…”
Section: Roughening Posture (Normal Vector) Calculationmentioning
confidence: 99%
“…This method is not efficient and less robust. Wu et al [14] used a camera and a line laser to reconstruct the 3D data of the sole and could not realize the one-time 3D reconstruction with low working efficiency. Zhu et al [15] proposed an automatic generation method for shoe sole spraying trajectory, which converts the 3D point cloud of shoe soles into 2D depth images, so the accuracy and robustness of this method were not high.…”
Section: Introductionmentioning
confidence: 99%
“…Hence, new and more intuitive tools are required to make generation of robot trajectories easier [2,4,6]. In order to overcome these limitations, off-line programming systems can be used [3,9]. This method uses a 3D simulation of the robot environment and its controller.…”
Section: Introductionmentioning
confidence: 99%