Emotional and Conditional Model for Pet Robot based on Neural Network

• Main Authors: Chia-Ming Hsu, 許家銘
• Other Authors: Jia-Sheng Heh
• Format: Others
• Language: zh-TW
• Published: 2014
• Online Access: http://ndltd.ncl.edu.tw/handle/62567712120856301898

碩士 === 中原大學 === 資訊工程研究所 === 102 === Recently more and more pet robot products are launched, which showing the increasing market demand for pet robots, and a plenty of researches have pointed out that the product innovativeness can encourage consumers’ acceptance, the pet robot will be made with more variability, more versatility, and more interesting in each generation. To make the robots do common activities in the same environment with human and integrate it to human’ life is the target of those researchers who were studying in the field of intelligent robot. As a matter of fact, all traditional robots have to face with two major issues: one is the user limitation of patience and passion, and the other is the users cannot escape from the thought of “interacting with a hard and cold robot machine”. This research is aimed at making the pet robots perform more naturally; therefore a simplified prototype system has been designed, it is composed of conditional model and emotional model. The conditional model can make every pet robot have unique interactive style, its theoretical foundation of learning method is based on classical conditioning. And the computational model is binding up with associative neural network and Hebbian learning rule, it can implements acquisition, extinction, and reacquisition effects as basic characteristics, and other extensive characteristics, such as blocking and secondary conditioning. On the other hand, the emotional model was modeled on the impact of the actual biological relationship between endocrine and emotion, which was built up eight basic emotions; apart from this, the concepts of emotion and feeling have also been adopted, thus determine the final performance behavior by using mood-driven approach. In this research, two aspects of achievement will be demonstrated: the first is how the learning method affects the emotion of pet robot, and the second is how the emotion affects the behavior of pet robot. Hopefully, the pet robot can learn like a human, performing biological self-expression, making people think the pet robot is animated machine, and people will get more trusting experience while they are interacting with each other.