Xiao Ou Li

University of Notre Dame

Papers

2

Total Citations

9

H-Index

2

About

Xiao Ou Li is a researcher focused on human-robot interaction, with a particular emphasis on spatial language and communication. Her work explores how robots can understand and respond to human spatial descriptions, a critical capability for assistive robotics in home environments. In her most-cited paper, "Human-driven spatial language for human-robot interaction" (2011, 5 citations), she investigated how elderly users could verbally direct a robot to locate misplaced objects, such as eyeglasses. This foundational study was extended in "Spatial language experiments for a robot fetch task" (2012, 4 citations), where she presented phase-based experimental results on how robots interpret human spatial cues during fetch tasks. Li’s contributions are notable for addressing the practical challenges of human-robot communication in real-world settings, particularly for aging populations. Her work bridges linguistics, cognitive science, and robotics, offering insights into designing more intuitive and accessible robotic assistants. Though her citation counts are modest, her research lays important groundwork for developing robots that can engage in natural, human-like spatial dialogues.

Research Focus

Key Achievements

2
H-Index
2
Papers
9
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Human-driven spatial language for human-robot interaction
5 citations · 2011
📈 Most Prolific Year: 2011 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: University of Notre Dame

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago