Madhumita Sardar
Papers
3
Total Citations
13
H-Index
2
About
Madhumita Sardar is a researcher at the forefront of swarm robotics, specializing in autonomous multi-robot systems for spatial exploration. Her work focuses on developing efficient algorithms that enable swarms of simple robots to systematically cover and map both continuous and discrete environments, with a particular emphasis on grid-based domains. Sardar’s major contributions include pioneering strategies for grid exploration that minimize redundant visits, ensuring that robots collectively cover every node while avoiding unnecessary repetitions—a critical challenge for time-constrained missions. Her 2022 paper on this topic, which has garnered 9 citations, is a foundational reference in the field. She has also advanced the understanding of swarm behavior in complex settings, such as grids with blocked nodes, and provided comprehensive surveys comparing coverage techniques across continuous and discrete spaces. Sardar’s work has direct implications for search-and-rescue operations, environmental monitoring, and autonomous mapping in unknown terrains. Her research is distinguished by its rigorous mathematical modeling and practical scalability, making her a rising voice in the robotics community.
Research Focus
Key Achievements
Top Papers
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