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The agent has (a) a three-dimensional body with internal muscle actuators and functional fins that deforms and locomotes in accordance with biomechanic and hydrodynamic principles; (b) sensors, including eyes that can image the environment; and (c) a brain with motor, perception, behavior, and learning centers.
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But for CLM, just one operator input move direction based on an image got form in-vehicle camera (the image shows the environment in front of robot), and CLM control system knows nothing about the environment in advance.
For the threshold-based method, all images of a sequence are first used to compute a background image of the environment by pixel averaging.
The background is an image of the environment that is captured when installing the artificial climbing wall, while the foreground is an image of a climber scaling the climbing wall.
Visual cues also can serve equilibration; for example, through compensatory body movements (optomotor reflexes) brought about by the shifts of the image of the environment over the retina of the eye.
The Extended Voronoi Transform of a binary image of the environment gives a grey scale that is darker near the obstacles and walls and lighter far from them.
(b, d, f) Shows the global trajectory of the track in the radar image of the environment.
(b, d, f, h) Shows the global trajectory of the track in the radar image of the environment.
By rotation of the probe this can be used to obtain a "heating radar image" of the environment.
Hence, this descriptor can be considered as a cyclical image of the environment of a point-of-interest.
It is this mirror that forms an image of the environment by a reflection from the back of the eye onto a double retina directly behind the lens (Land 1965, 1984).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com