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 robot dentist

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Robot dentist (doing root canal surgery using Human Level Artificial Intelligence)

 

     

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This video shows a robot doing a root canal surgery on a patient. There are no sound in the video because I wanted to show the viewers what the robot is thinking while doing dental surgery. 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 the robot is doing root canal surgery, he doesn't just use various tools to operate on the patient, he is also using his mind to visualize hidden information. For example, when the robot looks at a tooth, he can only see the front part, but the insides of the tooth are hidden away. The robot uses knowledge about what a tooth looks like from 360 degrees. He can visualize what the inside of the tooth looks like or visualize what the tooth looks like from the side. This information is very important to do dental surgery. During the surgery, the robot can't see the root canals because they are hidden inside a tooth. The robot uses knowledge learned from medical school, like diagrams of a tooth or 3-d models, to understand what he can't see.

Even though the robot can't see the canals, he can still imagine it in his mind. He uses this information to accomplish steps in the surgery.

Another important point is that the robot might run into problems while doing the surgery. He needs common sense and problem solving skills in order to solve these problems. For example, in the video, the robot dug a hole that is deeper than normal. His next step3 is to use a round drill to dig deeper, but because he over dug the hole the first time, he can by-pass step3. Instead of using a round drill, the robot decided to use a digging tool to dig deeper into the tooth. Interruptions during surgery is most likely to occur and the robot has to have the ability to solve these interruptions.

Also, the robot sometimes uses pressure of fingers to understand what is going on inside the tooth. In other words the robot isn't using visual data to understand the tooth, instead, he is using finger pressure. When the robot is using a small drill and poking inside the tooth, he can imagine what the canals in the tooth look like. If the drill is pushed to the right, that means the canal is curved to the right. This tool can also reveal how deep the canal is. The robot might stick the drill into the canal so he can determine the length of the canal.

In the video, when the robot is generating the linear steps to root canal surgery, he isn't searching memory for a static file on the steps. His brain is actually extracting an average movie sequence of the procedure and his mind is taking spaced-out frames in the movie sequence. For example, for step2, the robot activated a picture of drilling a hole in the tooth using a standard drill. This one picture then activated the instructions for step2. Next, another spaced-out picture will be activated and that picture will tell the robot what step3 is. This goes on and on until the entire steps to the surgery are outlined in the robot's mind. This is how the robot remembers linear steps to do a task. Sometimes extremely long procedures like heart surgery require doing things during runtime. The robot doesn't extract every single step of the surgery at the beginning. He does things in segments -- the robot's brain structures steps in a hierarchical manner. For really complex tasks, the robot has to write down the steps on a notebook and use the notebook as a guide to do each step.

         

 

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