Anjali Gupta

Yale University, Maulana Azad National Institute of Technology

Papers

Total Citations

H-Index

About

Anjali Gupta is a leading researcher at the intersection of social robotics and computer vision, with a focus on enabling machines to navigate and interpret complex human environments. Her seminal work, "SEAN 2.0: Formalizing and Generating Social Situations for Robot Navigation" (2022, 40 citations), addresses a critical bottleneck in autonomous navigation: the lack of diverse, realistic social contexts for training and benchmarking. By developing an open-source system that formalizes social situations, Gupta provides a foundational tool for creating robots that can safely and intuitively move among people, moving beyond simplistic obstacle avoidance. In parallel, her research on "Occluded Gait Reconstruction in Multi-Person Gait Environments" (2022, 34 citations) tackles the challenge of identifying individuals by their walking patterns even when partially hidden—a key capability for surveillance, healthcare, and human-robot interaction. Gupta’s work is notable for its practical, open-source contributions that directly accelerate progress in embodied AI, earning her recognition as a rising star in socially-aware robotics and computer vision.