Liu Xiaofeng, a professor at Hohai University in east China's Jiangsu Province, found a new approach for action unit (AU)-driven facial expression disentangled synthesis. They introduced a comprehensive two-stage methodology to empower our autonomous affective robot with the capacity to exhibit rich and natural facial expressions. Their method generates nuanced robot facial expression images guided by AUs.