NSYSU Uses Neural Networking in Robots

Humans increasingly expect their robots to be more advanced as time goes on, like the ones they see in movies and video games. Taiwan's Wei-Po Lee, Tsung-Hsien Yang and Bingchiang Jeng of National Sun Yat-sen University are using neural networks to go beyond repetitive behavior and reach emotional responses when interacting.

The team is dealing with:
-constructing control architecture to help the robot behave coherently.
-developing natural human/robotic interaction.
-building emotional responses and behavior into the robot.

The entire article was written up in the International Journal of Modelling, Identification and Control.

Via Times of India

Read More in: Humanoid Robots | Robot Science/Medicine

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