Megha Gupta

University of Delhi, University of Southern California

Papers

Total Citations

H-Index

About

Megha Gupta is a robotics researcher whose work bridges autonomous systems, human-robot interaction, and educational technology. Her most cited paper, "Ambient intelligence-based multimodal human action recognition for autonomous systems" (2022, 27 citations), tackles the challenge of enabling machines to understand and respond to human behavior in real-world environments—a critical step for safe, intuitive autonomous systems. In her earlier work, "Interactive environment exploration in clutter" (2013, 27 citations), she addressed the notoriously difficult problem of robotic navigation and manipulation in spaces filled with obstacles, proposing novel strategies for perception and movement under tight constraints. Gupta has also explored the social dimensions of robotics, as seen in "Challenges of Robot Assisted Teaching in Education Domain" (2021, 7 citations), where she examined how robot toys can be designed to blend children's natural curiosity with structured learning. Her foundational study on "Collective transport of robots" (2009, 6 citations) introduced a minimalist, leader-following approach to moving large groups of simple robots with minimal human effort—a concept with lasting relevance for swarm robotics. Across these contributions, Gupta demonstrates a consistent focus on making robots more perceptive, collaborative, and useful in complex, real-world settings.