Garima Ahuja

Indian Institute of Technology Hyderabad

Papers

Total Citations

H-Index

About

Garima Ahuja’s research lies at the intersection of robotics, artificial intelligence, and public safety, with a focused commitment to revolutionizing crowd management. Her key contributions center on developing multi-robotic agent systems designed to autonomously detect and mitigate congestion and stampede risks in real time. In her most-cited works, including “Managing Multi Robotic Agents to Avoid Congestion and Stampedes” (2015) and “Crowd Congestion and Stampede Management through Multi Robotic Agents” (2015), Ahuja proposes innovative frameworks that deploy automated surveillance and coordinated robotic responses to identify stampede-prone zones and dynamically guide crowds to safety. These contributions address a critical societal challenge—preventing the tragic loss of life in large gatherings—by leveraging technology for proactive intervention. While her citation counts (2 each) reflect the early-stage impact of these specific papers, the practical urgency and originality of her approach position her as a forward-thinking researcher in safety-critical robotics. Ahuja’s work underscores a dedication to translating computational methods into tangible solutions for complex, high-stakes environments, offering a compelling blueprint for future research in autonomous crowd control and multi-agent coordination.