The Simulation of a Robot with Emotions Implemented with Fuzzy Logic

With advancements in computer technologies, robots can be designed to act in more human ways. If behaviors of human beings are better understood, a robot enabled with human emotions may someday be created. To achieve this goal, in this study, we design and simulate a robot, named Shiau_Lu, empowered with six universal human emotions, including happiness, anger, fear, sadness, disgust, and surprise. When we input a sentence to Shiau_Lu, it recognizes the sentence by invoking the Google speech recognition method on the Android system, and reacts in a proper manner by outputting a sentence to reveal its emotion. Each input sentence affects strength of the six corresponding emotional variables. After the fuzzy inference process, the most significant emotion of those six will be inferred and determined. The remaining five are called hidden emotions. Besides, the most appropriate output sentence as a response is chosen from its database. With the new state of the six emotional variables, when the robot encounters another sentence, the above processes repeat and another output sentence is then chosen and replied. Artificial intelligence and psychological theories of human behaviors are applied to the robot to simulate how emotions are influenced by the outside world. In fact, the robot may help autistic children to interact more with the world around them and relate themselves well to the outside world.