Buddhadeb Sau

Jadavpur University

Papers

26

Total Citations

149

H-Index

6

About

Buddhadeb Sau is a researcher specializing in distributed computing and autonomous mobile robot systems, with particular expertise in coordination problems for swarm robotics. His work focuses on fundamental algorithmic challenges such as pattern formation, gathering, and dispersion of autonomous robots operating in geometric environments including infinite grids, hypercubes, triangular grids, and circles. Sau's most significant contributions lie in advancing the Arbitrary Pattern Formation (APF) problem, exploring how asynchronous, oblivious robots can self-organize without centralized control. His 2019 paper on mutual visibility in infinite grids has garnered 24 citations, while his work on optimal gathering in hypercubes and move-optimal pattern formation further demonstrates his systematic approach to optimizing robot coordination under realistic constraints. Notably, he has tackled challenging variants involving robots with inaccurate movements, limited memory, and restricted visibility — conditions that more faithfully reflect real-world deployments. Beyond theoretical contributions, Sau has also addressed practical robotics challenges, including RFID-based path following for autonomous mobile robots. With a cumulative citation count exceeding 100 across his top works, his research has meaningfully shaped the theoretical foundations of distributed robot computing, making his publications essential reading for students and researchers working at the intersection of distributed algorithms and autonomous systems.

Research Focus

Key Achievements

6
H-Index
26
Papers
149
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Mutual Visibility by Asynchronous Robots on Infinite Grid
24 citations · 2019
📈 Most Prolific Year: 2022 (7 Papers)
🤝 Key Collaborators: 13
🏛 Institutions: Jadavpur University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 16 days ago