Papers
8
Total Citations
56
H-Index
5
About
Amir Anvar is a pioneering researcher in autonomous maritime and aerial robotics, with a career dedicated to advancing unmanned vehicle technologies across underwater, surface, and aerial domains. Based at the University of Adelaide and collaborating with organizations such as DSTO, Anvar has made significant contributions to the design, development, and intelligent control of autonomous systems operating in challenging marine environments. His most influential work centers on Autonomous Underwater Vehicles (AUVs), including a landmark 2008 collaboration that upgraded an AUV test-bed to serve as a platform for advanced underwater robotic research, accumulating 20 citations. He has further contributed fuzzy logic-based obstacle detection algorithms for AUV navigation in shallow water, dynamic modeling of underwater manipulators, and 6-DOF simulation frameworks that reduce the cost and complexity of real-world testing. Anvar's research vision extends beyond subsurface robotics. He has explored wave-propelled ocean gliders, tube-launched submarine-deployable UAVs, unmanned surface vehicles, and UAV-based visual servoing for oceanic target detection — demonstrating a remarkably broad systems-level perspective on maritime autonomy. His cumulative body of work, spanning multiple robotic platforms and environments, positions him as a versatile and forward-thinking contributor to the field of marine and aerial robotics engineering.
Research Focus
Key Achievements
Top Papers
- 1The advancement of an autonomous underwater vehicle (AUV) technology20 citations · 2008
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- 3Dynamic Modeling Of Underwater Manipulator And Its Simulation7 citations · 2012
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- 86 Degrees of freedom (DOF) maritime robotic simulation framework2 citations · 2010