Robot pilot (landing a real plane using Human
Level Artificial Intelligence)
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This video shows a robot
landing a real plane. There are no sound in the
video because I wanted to show the viewers what the
robot is thinking while controlling a plane. The
flashing text and freeze frames are the internal
thoughts of the robot and not instruction text for
the viewers. These internal thoughts describe the
details of how the robot produce intelligence.
My robot doesn't use:
planning programs/heuristic searches (used by MIT and
Stanford University), Bayesian's probability theories
for decision making, Bayesian's equation for
induction and deduction, semantic networks for
natural language understanding, predicate calculus,
common sense systems, first-order logic, rule-based
systems, genetic programming, or MACHINE LEARNING.
When flying a plane, the
robot (the pilot) has to understand its surroundings
from 360 degrees. He has to know where he is located
at all times. The robot must know how high up he is
from the ground, where the airport is, where the
runway is, and where the plane is in relations to the
airport. The robot can only see a limited view of
the environment at any given time, but his mind has a
mental map of his 360 degree surroundings. This
mental map is very important to plotting routes and
landing the plane on the runway.
There is a huge
difference in how a human pilot flies compared to an
autonomous plane. For one thing, humans don't need
lasers to determine distance, they use their eyes to
judge distance. Human pilots don't need navigation
software to plot routes and land. Instead, they use
human intelligence to land a plane or plot routes.
A human pilot can also
use software or technology to fly safer and faster.
For example, they can look at a meter to see the
actual altitude or look at a radar screen to see a
3-d representation of the environment.