Papers

10

Total Citations

530

H-Index

9

About

Onur Tekdas is a robotics and wireless networking researcher whose work sits at the productive intersection of mobile robotics, sensor networks, and communication systems. His research has made significant contributions to two interconnected areas: robotic data collection from sensor fields and mobile robotic networking. Tekdas is perhaps best known for pioneering the concept of "robotic data mules" — mobile robots that autonomously harvest data from distributed wireless sensor nodes, dramatically extending network lifetime without requiring dense relay infrastructure. His 2009 paper on this topic has accumulated 176 citations and remains a foundational reference in the field. Complementing this, his work on robotic routers demonstrated how mobility-enabled robots could dynamically provision wireless connectivity for users in large or obstacle-filled environments, work that has garnered nearly 90 citations across multiple publications. Beyond data collection, Tekdas made notable theoretical contributions to sensor placement optimization for triangulation-based robot localization, providing algorithms to minimize sensor deployment while guaranteeing localization accuracy — work cited over 100 times. His research on disaster response communication bridges further illustrates his commitment to real-world impact. Across his career, Tekdas has shaped how researchers think about integrating mobile robotics with communication infrastructure, accumulating over 500 citations in total.

Research Focus

Key Achievements

9
H-Index
10
Papers
530
Total Citations
53
Avg Citations/Paper
🏆 Most Cited Paper
Using mobile robots to harvest data from sensor fields
176 citations · 2009
📈 Most Prolific Year: 2011 (3 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: University of Minnesota, Rensselaer Polytechnic Institute

Top Papers

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    Robotic routers
    29 citations · 2008
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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago