Yangyang Zhou

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About

Yangyang Zhou’s research lies at the intersection of artificial intelligence and robotics, with a primary focus on advancing non-task-oriented dialogue systems and intelligent robotic manipulation. Zhou’s most notable contribution is the development of CERG (Chinese Emotional Response Generator with Retrieval Method), a data-driven dialogue system that addresses the longstanding challenge of generating emotionally appropriate responses in open-domain conversations. This work, which has garnered 9 citations, represents a significant step toward making human-machine interactions more natural and empathetic. In parallel, Zhou has made impactful contributions to industrial automation through research on deep vision servo hand-eye coordination for sorting robots. This work, published in *Symmetry* and cited 4 times, tackles critical issues of recognition accuracy and efficiency in automated sorting systems by integrating multi-vision tracking with kinematic modeling. A subsequent correction to this paper (2 citations) demonstrates Zhou’s commitment to scientific rigor. Together, these contributions showcase Zhou’s ability to bridge cutting-edge AI techniques with practical engineering challenges, offering valuable insights for researchers working on conversational AI and robotic perception systems.