About

Sauvik Das is a researcher whose work sits at the intersection of wireless sensor networks, mobile robotics, and distributed systems. His most significant contributions emerged from a prolific period of research in 2006, during which he tackled foundational challenges in autonomous and cooperative systems. His most cited work, "Path Planning of Mobile Landmarks for Localization in Wireless Sensor Networks" (62 citations), introduced innovative approaches to GPS-assisted node localization — a critical problem for deploying real-world sensor networks. Complementing this, his research on coordinated cooperative localization (CoCoA) and group communication protocols advanced the field of multi-robot ad hoc networks, addressing how robot teams can self-organize and navigate without existing infrastructure — particularly valuable for search-and-rescue and hazard-detection scenarios. His work on replacing failed sensor nodes using mobile robots offered a cost-conscious solution to network reliability, anticipating concerns about scalability and hardware economics. In later years, Das expanded his scope toward human-robot interaction, exploring voice recognition and facial motion-based robot control. With over 130 cumulative citations, his research has meaningfully shaped how autonomous systems communicate, localize, and adapt in dynamic environments.

Research Focus

Key Achievements

6
H-Index
8
Papers
149
Total Citations
19
Avg Citations/Paper
🏆 Most Cited Paper
Path Planning of Mobile Landmarks for Localization inWireless Sensor Networks
62 citations · 2006
📈 Most Prolific Year: 2006 (5 Papers)
🤝 Key Collaborators: 19
🏛 Institutions: Purdue University West Lafayette, Oklahoma State University, Maulana Abul Kalam Azad University of Technology, West Bengal

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago