Papers

30

Total Citations

902

H-Index

16

About

George C. Karras is a prominent robotics and control systems researcher whose work has significantly advanced the fields of autonomous underwater vehicles (AUVs), underwater vehicle manipulator systems (UVMSs), and model predictive control. His research tackles some of the most challenging problems in marine robotics, including trajectory tracking under real-world uncertainties, robust navigation in obstacle-laden environments, and cooperative multi-robot manipulation. Karras's most influential contribution — his 2016 paper on prescribed performance control for underactuated underwater vehicles — has garnered over 210 citations, demonstrating its substantial impact on the robotics community. By innovatively extending prescribed performance control theory to underactuated systems, he provided a mathematically rigorous framework for handling model uncertainties and external disturbances. His subsequent work on nonlinear model predictive control (NMPC) for autonomous navigation and cooperative transportation of multiple UVMSs has further cemented his reputation, accumulating hundreds of additional citations collectively. Beyond marine robotics, Karras has made notable contributions to fault-tolerant control for omnidirectional mobile platforms and vision-based control schemes. His development of self-triggered visual servoing approaches and unsupervised online system identification methods reflects a versatile research portfolio bridging theoretical rigor with practical autonomous systems applications.

Research Focus

Key Achievements

16
H-Index
30
Papers
902
Total Citations
30
Avg Citations/Paper
🏆 Most Cited Paper
Trajectory Tracking With Prescribed Performance for Underactuated Underwater Vehicles Under Model Uncertainties and External Disturbances
210 citations · 2016
📈 Most Prolific Year: 2015 (6 Papers)
🤝 Key Collaborators: 47
🏛 Institutions: National Technical University of Athens, University of Thessaly

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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