Download Intelligent Manufacturing

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
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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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