Abstract:
Noncontact Contour tracking is important aspect
for industrial robot to autonomously follow contour
in order to do online welding, painting and
automatic application programming. Normal
approach of contour tracking using adapting
gradient approach generate a lot of noise point in
the region of flat curve along the contour. To
eliminate these noise points is very crucial in order
to achieve appropriate quality process requirement.
Fuzzy logic is being used in order to eliminate the
flat contour region and complex or high slope
region in geometric curve periphery. This
intelligent approach will discriminate flat or simple
contour and complex contour so that the number of
sampling point will be allocated according the
complexity of the region. It is shown in this work
that fuzzy logic methodology is quite effective in
removing unwanted noise and improving the
accumulation of error along contour surface to be
tracked.
