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

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

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

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

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

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

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

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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