Papers
5
Total Citations
14
H-Index
2
About
Moumita Mondal is a computer science researcher specializing in distributed computing and swarm robotics, with a particular focus on geometric pattern formation algorithms for autonomous multi-robot systems. Her work addresses one of the field's most challenging problems: enabling groups of identical, anonymous, and oblivious robots to self-organize into precise geometric configurations without centralized coordination. Mondal's most significant contributions center on circle formation, a problem with practical applications in border surveillance, geographic coverage, and coordinated guarding. Her 2019 paper on uniform circle formation under limited visibility has garnered the most attention with 5 citations, building upon her 2018 foundational work introducing distributed algorithms for swarm robots to achieve uniform circular arrangements. She has since expanded this research domain considerably, tackling more complex variants including multiple simultaneous circle formations using "fat robots" with physical volume constraints, k-circle formation on grid environments, and uniform grid formation by asynchronous robots. What distinguishes Mondal's research is her consistent attention to real-world constraints — limited visibility, asynchronous operation, and scalability — making her algorithms more practically deployable. With a growing body of work across multiple formation problems and accumulating citations across her publications, she represents an emerging voice in the theoretical foundations of swarm robotics and distributed geometric algorithms.
Research Focus
Key Achievements
Top Papers
- 1Uniform Circle Formation by Swarm Robots Under Limited Visibility5 citations · 2019
- 2Uniform circle formation by mobile robots4 citations · 2018
- 3K Circle Formation by Swarm Robots on a Grid2 citations · 2024
- 4Multiple Uniform Circle Formation by Fat Robots Under Limited Visibility2 citations · 2023
- 5Uniform Grid Formation by Asynchronous Fat Robots1 citations · 2021