Ri Zhang

About

Ri Zhang is a leading researcher in the field of human-robot interaction (HRI), with a specific focus on creating emotionally intelligent and socially aware service robots. Her work centers on developing systems that enable robots to not only perceive but also appropriately respond to human emotional states, bridging the gap between cold machinery and warm, intuitive companionship. Her most impactful contribution is the "Facial Expression Emotion Recognition based Human-Robot Interaction (FEER-HRI) system," which has garnered 179 citations. This pioneering framework allows robots to recognize human emotions and generate matching facial expressions, fostering more natural communication. Zhang further advanced the field with her "Multimodal Emotional Communication based Humans-Robots Interaction (MEC-HRI) system," integrating speech, facial expressions, and gestures for richer interaction. Her research also explores proactive service models, such as an initiative drinking service robot that anticipates user needs through intention understanding. By integrating concepts like the "Fuzzy Atmosfield" to estimate communication atmosphere, Zhang’s work lays the groundwork for robots that are not just tools, but empathetic partners in daily life.

Research Focus

Key Achievements

Top Papers

1. 1
   A facial expression emotion recognition based human-robot interaction system

   179 citations · 2017
2. 2
   A multimodal emotional communication based humans-robots interaction system

   38 citations · 2016
3. 3
   Proposal of initiative service model for service robot

   11 citations · 2017
4. 4
   An initiative service method based on intention understanding for drinking service robot

   5 citations · 2017
5. 5
   Communication atmosphere in humans and robots interaction based on fuzzy analytical hierarchy process

   5 citations · 2017

Key Collaborators

Contact & Links