Triangle Robot
Our triangle robot is parametrizable in the sense that we use a circumcirecle to describe it.
The figure shows that its radius and two angles(∠ADB and ∠ADC) can be given as an input parameter.
We use the triangle robot to illustrate various elements of our
Soft Subdivision Search
(SSS) Framework.
By introducing the concept of
resolution-exactness,
we can exploit
softness
for deciding predicates.
(clickable image for video)
You can watch at
Youtube
Or download the video:
triangle parking demo.
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