Juhi Kedia

Carnegie Mellon University

Papers

1

Total Citations

10

H-Index

1

About

Juhi Kedia is a pioneering researcher at the intersection of robotics, human-computer interaction, and adaptive architecture. Her work focuses on developing constraint-driven robotic surfaces that operate at human scale—reconfigurable, computationally controlled environments that can dynamically shift their form and function to serve diverse user needs. In her landmark 2023 paper, Kedia demonstrated how these reprogrammable surfaces can transform a single static structure into multiple functional spaces over time, from workspaces to social zones, without manual reconstruction. Though still early in her career, her research has already garnered over 10 citations, signaling growing interest in her vision of truly responsive environments. Kedia’s contributions are notable for bridging engineering constraints with user-centered design, offering a practical path toward customizable, sustainable spaces that adapt in real time. Her work promises to reshape how we think about the built environment—turning walls and floors into active, intelligent partners in daily life. For students and researchers, Kedia represents a new wave of innovation where robotics meets architecture, making the spaces around us smarter, more flexible, and more human.

Research Focus

Key Achievements

1
H-Index
1
Papers
10
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
Constraint-Driven Robotic Surfaces, At Human-Scale
10 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Carnegie Mellon University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago