Papers
13
Total Citations
180
H-Index
6
About
Osama Ennasr is a robotics and autonomous systems researcher whose work spans underwater robotics, target localization, and ground vehicle navigation. He is perhaps best known for his pioneering contributions to gliding robotic fish — innovative hybrid platforms that merge the energy efficiency of underwater gliders with the maneuverability of robotic fish — making them ideal for long-duration aquatic monitoring. His landmark 2015 paper on autonomous water column sampling using these platforms has garnered 91 citations, establishing him as a key voice in environmental aquatic sensing. Ennasr's work extends beyond underwater robotics into signal-based localization, where he has developed distributed Time-Difference-of-Arrival (TDOA) algorithms enabling robotic networks to accurately track moving targets — work that has attracted growing attention with over 20 citations. He has also explored ergodic exploration strategies for adaptive sampling, animal telemetry integration with AUVs, and optimized payload systems for unmanned ground vehicles operating in complex subterranean environments. More recently, his research has addressed autonomous SLAM-based navigation and adaptive control for nonlinear systems. Across these diverse domains, Ennasr consistently bridges theoretical rigor with real-world experimentation, making meaningful contributions to the next generation of intelligent autonomous systems.
Research Focus
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Top Papers
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- 8Autonomous navigation and mapping in a simulated environment4 citations · 2021
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