Zhanyi Sun
Papers
2
Total Citations
14
H-Index
2
About
Zhanyi Sun is a robotics researcher whose work focuses on safe, autonomous robot-assisted dressing—a domain with profound implications for healthcare and assistive technology. Her key research areas include multi-modal sensing, deformable object manipulation, and policy learning for human-robot interaction. Sun’s major contributions center on integrating visual and force feedback to enable robots to dress individuals with varying body poses and garment types, addressing the complex challenge of manipulating deformable cloth in 3D space. Her most-cited paper, "Force-Constrained Visual Policy: Safe Robot-Assisted Dressing via Multi-Modal Sensing" (2024, 11 citations), introduces a novel framework that combines vision for human pose and garment tracking with force sensing to ensure safety during physical contact. This work builds on her earlier study, "One Policy to Dress Them All: Learning to Dress People with Diverse Poses and Garments" (2023, 3 citations), which demonstrated a single policy capable of generalizing across different users and clothing items. By prioritizing safety and adaptability, Sun’s research pushes the boundaries of assistive robotics, offering a pathway toward practical, personalized care solutions that could significantly enhance quality of life for older adults and individuals with disabilities.
Research Focus
Key Achievements
Top Papers
- 1
- 2