Yuanchun Shi

Tsinghua University

Papers

6

Total Citations

62

H-Index

5

About

Yuanchun Shi is a pioneering researcher at the intersection of human-computer interaction, virtual reality, and robotics, whose work transforms how humans engage with intelligent systems. Her key research areas span haptic feedback in VR, full-body pose estimation, cognitive load measurement, spatial reasoning enhancement, and vision-language-action models for robotic manipulation. Shi’s major contributions include developing MoveVR, which leverages household cleaning robots to deliver multiform force feedback in virtual reality—a breakthrough that makes immersive haptic experiences accessible and realistic. She also introduced PepperPose, enabling accurate full-body pose estimation using companion robots, and CogACT, a foundational vision-language-action model that synergizes cognition and action for robotic manipulation. Her work on non-invasive cognitive load and stress measurement using vascular response indices has implications for smart healthcare and driving. With over 50 citations across her top papers, Shi’s research has garnered attention for its practical applications, such as using reconfigurable modular robots to improve spatial reasoning performance. Her notable achievements include pioneering tangible interaction methods that enhance spatial ability, a critical skill for STEM development. Shi’s innovative, user-centered approach continues to push boundaries in ubiquitous computing and human-robot interaction.

Research Focus

Key Achievements

5
H-Index
6
Papers
62
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
MoveVR: Enabling Multiform Force Feedback in Virtual Reality using Household Cleaning Robot
29 citations · 2020
📈 Most Prolific Year: 2024 (2 Papers)
🤝 Key Collaborators: 41
🏛 Institutions: Tsinghua University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago