Nataraj Dasgupta

Papers

Total Citations

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About

Nataraj Dasgupta is an emerging researcher in artificial intelligence and human-robot interaction, with a focused interest in crowd management and interactive content delivery systems. His most-cited work, "Interactive Communication Robot Handling Crowd Management and Content Delivery in Museums Employing Crowd Counting" (2023, 6 citations), addresses the growing post-pandemic need for intelligent crowd monitoring and control in public spaces. Dasgupta’s key contribution lies in integrating crowd counting and localization techniques with robotic communication, enabling robots to dynamically manage visitor flow and deliver tailored content in environments like museums. This work bridges AI-driven crowd analysis and real-world interactive robotics, offering practical solutions for public safety and space design. While his citation count is still building, his research is timely, responding to the surge in AI applications for crowd monitoring that gained momentum after the Covid-19 period (2020–2022). Dasgupta’s approach stands out for its applied focus—moving beyond theoretical models to deployable systems that enhance visitor experiences while ensuring safety. As the field of interactive robotics expands, his work contributes a valuable framework for robots that can both count crowds and engage them meaningfully, marking him as a researcher to watch in this niche but rapidly evolving domain.