Samriddhi Majumdar

National Institute of Technology Agartala

Papers

Total Citations

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About

Samriddhi Majumdar is a researcher in multi-robot systems, specializing in area exploration and cooperative robotics. Her work focuses on developing efficient algorithms for unknown environment mapping, with major contributions in workload distribution and swarm coordination. Her most cited paper, "Multi Robot Area Exploration Using Circle Partitioning Method" (16 citations), introduces a novel approach that divides unknown areas into circular subregions for balanced task allocation among robots, significantly improving exploration efficiency. Another key work, "Area Exploration by Flocking of Multi Robot" (11 citations), advances the application of flocking behaviors—inspired by natural swarms—to enable coordinated, decentralized exploration without centralized control. Together, these papers have laid foundational methods for scalable multi-robot exploration, addressing critical challenges in autonomous mapping, search-and-rescue, and environmental monitoring. Majumdar’s research demonstrates how geometric partitioning and bio-inspired algorithms can enhance teamwork among robots, achieving higher coverage rates and robustness. Her work is widely cited by scholars in robotics and artificial intelligence, reflecting its practical relevance and theoretical impact. For students and researchers, Majumdar’s studies offer clear, implementable strategies for multi-robot coordination, making her a notable contributor to the field of autonomous systems.