Bilal Zouaoui
Papers
1
Total Citations
2
H-Index
1
About
Bilal Zouaoui is a researcher at the forefront of autonomous systems and multi-agent coordination, with a specialized focus on navigation and target localization in GPS-denied or communication-limited environments. His work addresses a critical challenge in modern robotics and defense: enabling heterogeneous teams of unmanned vehicles—such as drones and ground robots—to collaboratively determine their positions and locate targets without relying on external infrastructure. His most cited paper, "Self and Target Locating With Cooperation of Heterogeneous Unmanned Vehicles in the Denial Environment" (2025), proposes novel cooperative algorithms that allow these systems to share sensor data and adaptively estimate positions in real time. This contribution is vital for applications ranging from search-and-rescue operations to military reconnaissance in contested zones. Though early in his career, Zouaoui’s research has already garnered attention for its practical relevance, with his work cited in emerging studies on resilient multi-robot systems. His achievements highlight a promising trajectory in advancing the autonomy and reliability of unmanned systems under extreme conditions, making him a key voice in the future of intelligent, cooperative robotics.
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Top Papers
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