Navigating in 3-d using Human-Level Artificial Intelligence (pt 2)

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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).

In this video, the robot has to navigate through an unknown mansion (maze). The instructions state: the player has to find the main door, search for money and defeat zombies. At the end, the player does indeed find the main door, but has trouble finding a solution to open the main door.

The first video is about how does the robot form a 3-d map in memory on the current environment and how does the robot use this 3-d map to navigate in the maze. here is a link to the first video:

http://www.youtube.com/watch?v=OWKJamRVySw