Papers

2

Total Citations

46

H-Index

2

About

Lynn Urbina is a leading researcher in assistive robotics, with a primary focus on developing navigation technologies for people who are blind or visually impaired. Her most-cited work, "Robotic Assistance in Indoor Navigation for People who are Blind" (2016, 32 citations), introduces a novel approach to making robots effective as interactive audio guides. Urbina’s key contribution lies in emphasizing the critical role of sound and voice interaction in robotic assistance—recognizing that for users without sight, a robot’s auditory feedback is as important as its physical guidance. She has pioneered features that make robot speech more natural, intuitive, and context-aware, enabling safer and more independent indoor navigation. Her follow-up paper (14 citations) further refines these audio-interaction principles. Urbina’s work bridges robotics, human-computer interaction, and accessibility, directly impacting the design of inclusive technologies. By centering the user experience of blind individuals, she has set a new standard for how assistive robots communicate, making her research essential reading for students and engineers working at the intersection of robotics and disability studies.

Research Focus

Key Achievements

2
H-Index
2
Papers
46
Total Citations
23
Avg Citations/Paper
🏆 Most Cited Paper
Robotic assistance in indoor navigation for people who are blind
32 citations · 2016
📈 Most Prolific Year: 2016 (2 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Carnegie Mellon University, University of Pittsburgh

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago