Arnab Chatterjee

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About

Arnab Chatterjee is a researcher at the intersection of artificial intelligence, robotics, and human-computer interaction, with a particular focus on crowd-aware systems and interactive communication technologies. His most-cited work, "Interactive Communication Robot Handling Crowd Management and Content Delivery in Museums Employing Crowd Counting" (2023, 6 citations), addresses a critical post-pandemic challenge: how to deploy robots that can both monitor crowd density and deliver engaging content in public spaces like museums. By integrating crowd counting and localization techniques, Chatterjee’s research enables robots to adapt their behavior—adjusting movement, speech, or content delivery—based on real-time crowd dynamics. This work bridges AI-driven crowd analysis with practical robotics, offering solutions for public safety, space design, and interactive visitor experiences. His contributions are particularly timely, as they respond to the heightened need for contactless, intelligent systems in cultural and public venues. Through this research, Chatterjee demonstrates how AI can transform static environments into responsive, adaptive spaces, making him a notable voice in the growing field of socially aware robotics and human-centered AI.