Krishnendu Mukhopadhyaya
Papers
25
Total Citations
288
H-Index
10
About
Krishnendu Mukhopadhyaya is a distinguished computer scientist whose research is deeply rooted in distributed computing, autonomous mobile robotics, and swarm intelligence. His work primarily investigates how groups of simple, anonymous, and oblivious robots can collectively solve complex geometric and coordination problems — such as circle formation, gathering, and pattern formation — without centralized control or shared memory. Among his most significant contributions are his investigations into asynchronous "fat robots" — robots with physical extent rather than idealized point representations — under conditions of limited visibility and without common orientation. His 2012 paper on circle formation by such robots has garnered 42 citations, establishing foundational results in a notoriously challenging setting. Subsequent work extended these insights to problems involving leader election, fault tolerance under one-axis agreement, and mutual visibility with lights, collectively accumulating over 170 citations across his top papers. Mukhopadhyaya has consistently pushed the boundaries of what minimally capable robots can achieve, exploring increasingly realistic models that account for asymmetry, transparency, and nonuniform visibility. His more recent work on k-circle formation further demonstrates his evolving research agenda. His contributions make him an important figure for students and researchers working at the intersection of theoretical distributed computing and autonomous robotics.
Research Focus
Key Achievements
Top Papers
- 1Circle Formation by Asynchronous Fat Robots with Limited Visibility42 citations · 2012
- 2
- 3
- 4Gathering Asynchronous Transparent Fat Robots25 citations · 2010
- 5Circle Formation by Asynchronous Transparent Fat Robots22 citations · 2013
- 6
- 7
- 8Gathering Asynchronous Swarm Robots under Nonuniform Limited Visibility12 citations · 2015
- 9k-Circle Formation and k-epf by Asynchronous Robots12 citations · 2021
- 10