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.