Michael Alibani
Papers
1
Total Citations
4
H-Index
1
About
Dr. Michael Alibani is a researcher focused on advancing the autonomous capabilities of marine robotic systems, with a particular emphasis on multi-vehicle coordination and motion planning. His major contributions lie in developing decoupled, sampling-based algorithms that enable multiple autonomous marine vehicles (AMVs) to operate safely and efficiently in complex, unstructured underwater environments. His most-cited work, "Decoupled Sampling-Based Motion Planning for Multiple Autonomous Marine Vehicles" (2018), addresses the critical challenge of collision-free path planning for fleets of AMVs engaged in demanding missions such as geotechnical surveying and 3D marine habitat mapping. While his citation count is still growing, his research represents a foundational step toward scalable, practical deployment of multi-robot systems in real-world oceanographic and commercial applications. Dr. Alibani’s work is particularly notable for bridging the gap between theoretical planning algorithms and the physical constraints of underwater vehicles, making him a promising voice in the field of marine robotics and autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1