Papers
8
Total Citations
48
H-Index
4
About
Dr. Karl Sammut is a leading researcher in autonomous underwater vehicles (AUVs) and swarm robotics, with a focus on bio-inspired guidance, fault-tolerant control, and marine inspection systems. His work bridges computational fluid dynamics and practical AUV design, as demonstrated in his most-cited paper (20 citations) validating CFD tools for predicting drag and thrust in underwater robots. Dr. Sammut has made significant contributions to autonomous ship hull inspection, developing AUVs with omnidirectional path and view capabilities, and to coral reef surveillance using robotic platforms. His recent research (2025) pioneers the application of deep reinforcement learning for actuator fault recovery in AUVs, addressing critical challenges in hostile marine environments. Notable achievements include his work on cooperative guidance systems for AUV docking and multi-platform coordination, highlighted by participation in the inaugural Robot-X competition. With a growing citation record and publications spanning from foundational CFD analysis to cutting-edge sim-to-real transfer for fault control, Dr. Sammut’s work is advancing the reliability and autonomy of underwater robotic systems, making him a key figure in marine robotics research.
Research Focus
Key Achievements
Top Papers
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- 3Autonomous ship hull inspection by omnidirectional path and view7 citations · 2016
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- 6Homing for autonomous multi-platform docking2 citations · 2015
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