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Configuration space is a general concept
that can be applied to a lot of robots.
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This slide shows a simple planar arm
with two revolute joints, one and two.
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Here again, we can think of all
the possible configurations of this robot.
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And associate them with a tuple of
joint angles theta 1 and theta 2.
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In this case, the two angles can
freely range from 0 to 360 degrees.
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The following movie shows our planar
two link robot moving around.
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Along with a corresponding
trajectory in configuration space.
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Note, that as a robot moves continuously,
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the red dot corresponding to the robot's
configuration space coordinates.
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Appears to disappear from one side of
the graph and appear on the other.
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This is really just a consequence
of the way that rotations work.
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Namely, configurations corresponding to
theta 1 equals 0, and theta 1 equals 360,
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are the same.
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Similarly, configurations
corresponding to theta 2 equals 0, and
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theta 2 equals 360, are also the same.
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This means that for this example,
the configuration space can actually be
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associated with a 2D surface
of a taurus or doughnut.
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Once again, we can introduce
obstacles into the environment.
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And consider which configurations become
infeasible, because of collision.
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This figure shows
the robot the obstacles and
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the corresponding situation and
configuration space.
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Notice, that because of the way
we have chosen coordinates for
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configuration space.
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The simple polygonal
obstacles actually turn into
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interesting shape in configuration space.
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Once again, the path planning problem
corresponds to guiding the robot
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from one configuration to another.
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Here's an example of a trajectory.
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Through configuration space, it guides
a robot from one position to another.
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Note that in this case, the topology of
the configuration space comes into play.
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In order to avoid the suave of
configuration space obstacle,
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in the center of the figure.
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The position of the robot
appears to disappear
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from the bottom of the figure and
reappear at the top.
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In order to get to
the final configuration.3207
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