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Artificial Intelligence in the Robotic Industry

Artificial Intelligence in the Robotic Industry. By Dalia Elzeny Jason Renaud. Project Introduction. Project Description Phase 1 While Vehicles are available in vehicle dispenser Robot picks one up Takes it to the testing area Determine what type it is Places it on the appropriate block.

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Artificial Intelligence in the Robotic Industry

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  1. Artificial Intelligence in the Robotic Industry By Dalia Elzeny Jason Renaud

  2. Project Introduction • Project Description • Phase 1 • While Vehicles are available in vehicle dispenser • Robot picks one up • Takes it to the testing area • Determine what type it is • Places it on the appropriate block

  3. Project Description Continued • Phase 2 • Robot will interact with user by asking questions • Robot will make an intelligent decision using knowledge gathered from the user • Phase 3 • Robot will deliver the vehicle to the final destination

  4. Robots Modeling Human Performance • They don’t really attempt to model human internal mental processes • Procedures for solving problems are preprogrammed • More actions may be performed but they are done at a much higher speed • Non-human approaches to solving problems • Programs that use non-human strategies to solve problems are often more successful than their human counterparts • This is true when system performance is the only measure of the robot’s successfulness

  5. Importance of AI in the Robotic Industry • Artificial Intelligence for abnormal situations • Extra sensors, adding more knowledge to the system, helps the robots to perform even in the event of accidents or other abnormal situations • Artificial Intelligence in user interface • The implementation of an expert system, for user interface, guides the user in decision making

  6. Intelligent Reactions • Knows if there is no vehicle in the gripper • If a vehicle has been lost then the robot gets another • Knows if three blocks are emptied or filled • In the event of three blocks being filled, a light will turn on specifying that it is full • In the event that all three blocks are emptied a light shuts off • Knows when no more vehicles remain in the dispenser • A light will turn off • The production will move to the next phase

  7. Expert System Interface • Why is an expert system interface used? • An expert system interface guides the user in decision making • Expert systems cut down on the amount of mistakes made by the user

  8. How does it work? • The user is asked to specify how many passengers • If the user enters a value that is out of range then an error message will be displayed and the user will be asked to enter another value • The computer decides which vehicle would be optimal • The user is asked to specify how many vehicles • If zero vehicles are chosen then • The user is told that this is the optimal vehicle • The user is told to specify a different number of passengers and loops back to the beginning of that phase • Else the robot packages the specified number of vehicles • The user is given the option of continuing the vehicle selection phases

  9. Conclusion • Artificial Intelligence • Increases production throughput • Makes production safer and more reliable • Lessens the need for human interaction • Guides the user in decision making • Helps eliminate errors in decision making

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