Avni Shah

Columbia University

Papers

1

Total Citations

24

H-Index

1

About

Avni Shah is a pioneering researcher in rehabilitation robotics, with a focus on developing intuitive, wearable systems that restore mobility and enhance human performance. Her work centers on the intersection of exoskeleton design, human-robot interaction, and augmented reality feedback—an emerging area that promises to transform neurorehabilitation. In her most cited work, “Walking With Augmented Reality: A Preliminary Assessment of Visual Feedback With a Cable-Driven Active Leg Exoskeleton (C-ALEX),” Shah tackles a critical challenge in mobile exoskeletons: providing real-time, over-ground visual feedback without tethering users to stationary displays. By integrating a Microsoft HoloLens with the C-ALEX system, she demonstrated how augmented reality can guide gait correction in real time, bridging the gap between lab-based rehabilitation and real-world walking. This paper, with 24 citations, has laid foundational groundwork for future closed-loop, visually guided exoskeletons. Shah’s contributions are notable for their practical, user-centered approach—combining engineering rigor with clinical insight—and her work continues to influence the design of next-generation assistive devices that are both effective and accessible.

Research Focus

Key Achievements

1
H-Index
1
Papers
24
Total Citations
24
Avg Citations/Paper
🏆 Most Cited Paper
Walking With Augmented Reality: A Preliminary Assessment of Visual Feedback With a Cable-Driven Active Leg Exoskeleton (C-ALEX)
24 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Columbia University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago