Uthman Baroudi

King Fahd University of Petroleum and Minerals

Papers

16

Total Citations

254

H-Index

8

About

Uthman Baroudi is a leading researcher in multi-robot systems and wireless sensor networks, with a focus on intelligent coordination, energy efficiency, and autonomous deployment. His work addresses critical challenges in cyber-physical systems, particularly how teams of robots and sensors can collaborate effectively in harsh or inaccessible environments. Baroudi’s most cited paper, “FL-MTSP: a fuzzy logic approach to solve the multi-objective multiple traveling salesman problem for multi-robot systems” (62 citations), introduces a novel fuzzy logic framework for optimizing task allocation across multiple robots. He also pioneered energy-aware solutions, such as “Robot-Assisted Maintenance of Wireless Sensor Networks Using Wireless Energy Transfer” (57 citations), which enables robots to wirelessly recharge sensors, extending network lifetimes. His dynamic auction-based task allocation method (26 citations) and connectivity restoration mechanisms (26 citations) further advance the resilience and adaptability of robotic networks. With over 200 total citations, Baroudi’s work has shaped practical applications in search-and-rescue, environmental monitoring, and infrastructure maintenance, earning him recognition as a key innovator in autonomous multi-robot coordination.

Research Focus

Key Achievements

8
H-Index
16
Papers
254
Total Citations
16
Avg Citations/Paper
🏆 Most Cited Paper
FL-MTSP: a fuzzy logic approach to solve the multi-objective multiple traveling salesman problem for multi-robot systems
62 citations · 2016
📈 Most Prolific Year: 2020 (4 Papers)
🤝 Key Collaborators: 24
🏛 Institutions: King Fahd University of Petroleum and Minerals

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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