Niloy Kumar Das

Papers

Total Citations

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About

Niloy Kumar Das is an emerging researcher at the intersection of artificial intelligence, human-robot interaction, and crowd analytics. His work focuses on developing intelligent communication robots capable of real-time crowd management and dynamic content delivery, particularly in cultural heritage settings such as museums. Das’s most cited paper, “Interactive Communication Robot Handling Crowd Management and Content Delivery in Museums Employing Crowd Counting” (2023, 6 citations), introduces a novel framework that integrates computer vision-based crowd counting with autonomous robotic behavior to enhance visitor engagement and safety. This research addresses pressing post-pandemic challenges in public space design and interactive service delivery, demonstrating how AI-driven systems can adapt to fluctuating crowd densities. By combining localization algorithms with responsive robotics, Das contributes to scalable solutions for smart environments. His work is notable for bridging theoretical advances in crowd analysis with practical, deployable systems, offering a blueprint for future interactive robots in crowded, real-world settings. As a rising voice in applied AI, Das’s research holds promise for transforming how robots perceive and serve human groups in dynamic public spaces.