Navigating in 3-d using Human-Level Artificial Intelligence
(pt 1)
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This video shows a robot
navigating in a 3-dimensional environment. There are
no sound in this video because I wanted the viewers
to focus on the robot's thoughts while navigating in
a 3-d plane.
When navigation
questions are asked, such as: "where is the nearest
library" or "what did you see inside the super
market", the robot has to have a 3-d map of
everything it has explored in the past. The robot
will recall vital experiences and extract facts from
these experiences.
I have broken up this
lesson into two parts. 1. navigation in a maze. 2.
answering questions based on your navigation. In the
first part, I try to show how the robot stores
experiences in memory regarding navigation. The robot
stores visual experiences, frame-by-frame, in memory
and these frames are stored in memory in a 3-d manner
(each frame has a direction and a link to the next
frame).
This video is about
how does the robot form 3-d maps in memory on the
current environment and how does the robot use this
3-d map to navigate in the maze.
Keep in mind that the
robot's brain doesn't have a predefined navigation
system. Teachers in school teach the robot how to
navigate in 3-d (navigate in the real world) or to
navigate in 2-d (draw lines in a worksheet).