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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).

 

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