Aditi Kulkarni

Carnegie Mellon University

Papers

2

Total Citations

46

H-Index

2

About

Aditi Kulkarni is a researcher whose work sits at the meaningful intersection of robotics, accessibility technology, and assistive navigation systems. Her most recognized contributions center on developing robotic guidance solutions for people who are blind or visually impaired, addressing one of the more challenging and socially impactful frontiers in human-robot interaction. Kulkarni's flagship research, "Robotic Assistance in Indoor Navigation for People who are Blind" (2016), has accumulated a combined total of over 46 citations across its publications, demonstrating sustained interest from the broader research community in this space. Her work is particularly notable for its emphasis on making robotic assistants not only functionally effective but also communicatively natural. By prioritizing interactive audio features and focusing on how a robot "sounds" to its user, Kulkarni addressed a dimension of assistive robotics that purely technical approaches often overlook — the human experience of interacting with the system. This user-centered design philosophy reflects a deep understanding of the needs of visually impaired individuals navigating indoor environments. Her contributions offer a compelling foundation for researchers and engineers working to build more inclusive, accessible robotic technologies.

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

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago