Papers

5

Total Citations

212

H-Index

4

About

Dr. Moumita Paul is a pioneering roboticist whose research bridges intelligent navigation, human-robot interaction, and public health. Her most impactful work centers on developing autonomous systems that perceive and respond to complex social environments. During the COVID-19 pandemic, Dr. Paul created a novel surveillance robot that automatically detects human pairs violating social distancing norms in crowded indoor and outdoor scenarios, a contribution that has garnered over 130 citations across two seminal papers (2020–2021). This work demonstrated how robotics can directly support public health measures. Her foundational research, with over 60 citations, introduced a neural network model for adaptive behavioral navigation, enabling mobile robots to select context-appropriate actions—such as stopping, avoiding, or wall-following—through competitive learning. More recently, with her CoMet framework (2021), she has advanced socially compliant robot navigation by modeling group cohesion, allowing robots to move through crowded scenes in a manner that respects human social dynamics. Dr. Paul’s career reflects a sustained commitment to making robots not just autonomous, but socially aware and responsive to real-world constraints.

Research Focus

Key Achievements

4
H-Index
5
Papers
212
Total Citations
42
Avg Citations/Paper
🏆 Most Cited Paper
COVID surveillance robot: Monitoring social distancing constraints in indoor scenarios
76 citations · 2021
📈 Most Prolific Year: 2021 (2 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: University of Maryland, College Park, Universidad de Valladolid

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago