Papers
11
Total Citations
53
H-Index
5
About
Deepanwita Das is a researcher specializing in distributed algorithms, swarm robotics, and multi-robot coordination, with a particular focus on coverage and exploration problems in both continuous and discrete domains. Her work addresses fundamental challenges in autonomous robot systems, including area painting, grid exploration, and boundary assembly in environments complicated by obstacles and limited visibility constraints. Das has made significant contributions to the theoretical foundations of swarm robotics, developing distributed algorithmic solutions that enable mobile robots to collaboratively cover target regions without centralized control. Her painting and coverage algorithms address realistic constraints such as limited visibility ranges, random initial deployments, asynchronous robot activation, and cluttered environments with line obstacles. Notably, her research on light-based synchronization mechanisms demonstrates practical approaches to coordinating robots using minimal communication primitives such as colored lights. Her body of work spans over a decade, from early foundational painting algorithms in 2011 to comprehensive survey work published in 2023, reflecting sustained engagement with the field's evolving challenges. Her most-cited papers on grid exploration and swarm-based painting have each garnered around nine citations, establishing her as a consistent contributor to the multi-robot systems community. Her survey on swarm coverage further demonstrates her role in synthesizing and contextualizing progress across this growing research area.
Research Focus
Key Achievements
Top Papers
- 1
- 2An Algorithm for Painting an Area by Swarm of Mobile Robots9 citations · 2011
- 3
- 4Swarm-based painting of an area cluttered with obstacles5 citations · 2021
- 5Painting an Area by Swarm of Mobile Robots with Limited Visibility5 citations · 2012
- 6Assembling Swarm with Limited Visibility in Presence of Line Obstacles5 citations · 2017
- 7
- 8
- 9Gathering in the Discrete Domain: State of the Art2 citations · 2018
- 10