An Image Warping Technology Based Automatic Ceramic Surface Pattern Generation Algorithm

2014 ◽  
Author(s):  
Wu Wei-Na
Keyword(s):  
Pattern Generation ◽  
Image Warping ◽  
Surface Pattern ◽  
Ceramic Surface ◽  
Generation Algorithm

scholarly journals An Optimal Content-Based Pattern Generation Algorithm

2007 ◽  
Vol 14 (12) ◽  
pp. 904-907 ◽  
Author(s):  
M. Paul ◽  
M. Murshed
Keyword(s):  
Pattern Generation ◽  
Generation Algorithm

scholarly journals Surface Pattern Generation Using L-system

2013 ◽  
Vol 10 (2) ◽  
pp. 339-353 ◽  
Author(s):  
Pui Lam Chan ◽  
Kin Chuen Hui
Keyword(s):  
Pattern Generation ◽  
Surface Pattern ◽  
L System

Development of a robot simulator using a modified trajectory generation algorithm oriented towards the palletizing task

2008 ◽  
Vol 222 (7) ◽  
pp. 1253-1264 ◽  
Author(s):  
S-N Yu ◽  
S-J Lim ◽  
C-S Han ◽  
M-K Kang ◽  
S-R Kim
Keyword(s):  
Trajectory Optimization ◽  
Industrial Robot ◽  
Pattern Generation ◽  
Generation Algorithm ◽  
Know How ◽  
Offline Programming ◽  
Efficient Storage ◽  
Overlap Method ◽  
Trajectory Generation Algorithm ◽  
System Layout

Palletizing tasks are necessary to promote the efficient storage and shipping of boxed products. These tasks, however, involve some of the most monotonous and physically demanding tasks in the factory. Thus, many types of robot palletizing systems have been developed, although many robot motion commands still depend on the teach pendant. That is, the operator inputs the motion command lines one by one. This is very troublesome and, most importantly, the user must know how to type the code. To solve these problems, this paper proposes a combination of an optimized pallet pattern generation algorithm, an industrial robot simulator, and a modified trajectory optimization algorithm. To integrate these modules and to define the position of the boxes, the robot and its peripherals, as well as the system layout and its coordinates, were defined. Finally, the proposed path generation algorithm, the ‘overlap method’, was tested in the designed offline programming S/W, and its computational efficiency was proven.

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