About

Anurag Ganguli is a leading researcher in distributed robotics and multi-agent systems, with a core focus on motion coordination, visibility-based sensing, and deployment in complex, nonconvex environments. His pioneering work addresses fundamental challenges in robotic networks, where agents with limited sensing and communication must achieve collective goals. Ganguli’s most influential contribution is his algorithm for **multirobot rendezvous** in nonconvex environments (103 citations), which enables mobile robots to converge to a common location using only distributed, line-of-sight sensors. He also developed the first distributed deployment algorithms for **visibility coverage** in art gallery problems (77 citations), allowing robots to achieve full environment visibility without prior knowledge. His tutorial on collective motion in sensor networks (66 citations) has become a key reference for the field, bridging control theory and robotics. Ganguli’s work is distinguished by its rigorous nonsmooth analysis and gradient-based control design, as seen in his papers on maximizing visibility in nonconvex polygons. His research has laid the theoretical groundwork for practical applications in surveillance, search-and-rescue, and environmental monitoring, making him a highly cited authority in multi-robot coordination.

Research Focus

Key Achievements

8
H-Index
10
Papers
392
Total Citations
39
Avg Citations/Paper
🏆 Most Cited Paper
Multirobot Rendezvous With Visibility Sensors in Nonconvex Environments
103 citations · 2009
📈 Most Prolific Year: 2006 (4 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: UtopiaCompression (United States), University of Illinois Urbana-Champaign, University of California, Santa Barbara

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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