Yilin Shen
Papers
2
Total Citations
4
H-Index
2
About
Yilin Shen is a researcher at the forefront of human-robot interaction and embodied AI, with a focus on making autonomous systems more intuitive, culturally aware, and socially intelligent. Her work bridges reinforcement learning, gesture generation, and human-in-the-loop systems to create robots and virtual agents that can learn from and adapt to human behavior in real-world settings. In her highly cited 2025 paper “TED-culture,” Shen introduced a novel framework for generating co-speech gestures that are not only natural and expressive but also culturally inclusive—a critical step toward deploying embodied social agents across diverse global contexts. Her earlier 2018 work on “Human-Interactive Subgoal Supervision” advanced inverse reinforcement learning by enabling robots to learn complex sequential tasks through structured human guidance, using subgoal states as natural interaction points. Though early in her career, Shen’s contributions have already garnered attention for their practical impact on social robotics and interactive learning. Her research is particularly notable for its emphasis on cultural sensitivity and human-centered design, positioning her as a rising voice in the effort to build AI that communicates and collaborates as effectively as people do.
Research Focus
Key Achievements
Top Papers
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- 2