Papers

9

Total Citations

237

H-Index

6

About

Omar A.A. Orqueda is an accomplished robotics and control systems researcher whose work sits at the intersection of cooperative multi-vehicle systems, vision-based control, and networked embedded technologies. His most influential contribution, the 2007 paper on decentralized cooperative control for multivehicle platforms (146 citations), helped establish foundational frameworks for networked embedded systems in which multiple autonomous robots collaborate to achieve shared objectives. This work has become a key reference for researchers designing cooperative robotic architectures. Orqueda has made significant strides in vision-based formation control, developing robust decentralized algorithms that enable unmanned vehicles to maintain formations using only relative distances or bearing angles derived from onboard cameras — a practically elegant solution that reduces reliance on expensive sensor infrastructure. His 2006 formation control paper (38 citations) exemplifies this approach. Earlier in his career, he also advanced real-time vision systems for mobile robot localization, with applications demonstrated in competitive robotic soccer environments. Spanning work from autonomous navigation strategies in 2000 through multi-agent systems surveys in 2013, Orqueda's research trajectory reflects a sustained commitment to bridging theoretical control design with real-world autonomous systems, making his publications particularly valuable for students and engineers working on practical multi-robot deployments.

Research Focus

Key Achievements

6
H-Index
9
Papers
237
Total Citations
26
Avg Citations/Paper
🏆 Most Cited Paper
Decentralized cooperative control - A multivehicle platform for research in networked embedded systems
146 citations · 2007
📈 Most Prolific Year: 2007 (2 Papers)
🤝 Key Collaborators: 14
🏛 Institutions: Oklahoma State University, Sewanee: The University of the South, Universidad Nacional del Sur

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago