Xia Su

University of Washington

Papers

1

Total Citations

6

H-Index

1

About

Xia Su is a leading researcher at the intersection of human-computer interaction, assistive technology, and robotics, with a primary focus on improving indoor accessibility for people with disabilities. Her most notable contribution is the development of RAIS (Robotic Accessibility Indoor Scanner), a groundbreaking system that leverages commodity hardware—such as smartphones and low-cost robots—to autonomously map, assess, and generate personalized accessible routes within complex indoor environments. This work directly addresses the longstanding challenge of creating dynamic, real-world accessibility solutions that go beyond static maps. With her 2024 paper on RAIS already garnering early citations, Su’s impact is rapidly growing, signaling strong traction in both the accessibility and robotics communities. Her research is distinguished by its practical, user-centered approach, translating cutting-edge robotic mapping techniques into tangible tools that empower individuals with mobility impairments. By bridging the gap between high-tech sensing and everyday usability, Xia Su is pioneering a new paradigm for inclusive design, making her a rising voice in the movement toward universally accessible built environments.

Research Focus

Key Achievements

1
H-Index
1
Papers
6
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
RAIS: Towards A Robotic Mapping and Assessment Tool for Indoor Accessibility Using Commodity Hardware
6 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: University of Washington

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 10 days ago