Papers
4
Total Citations
23
H-Index
3
About
Ahmed Baza is a robotics researcher whose work pushes the boundaries of autonomous multi-agent systems, particularly at the intersection of aerial and ground robotics. His primary research areas include heterogeneous drone swarms, autonomous landing on moving platforms, and anthropomorphic telepresence systems. Baza’s most notable contribution is the "SwarmHawk" system, which introduces a self-sustaining multi-agent framework enabling UAVs to land on moving robots through agent supervision—a challenging task that had not been previously achieved. This work, along with "SwarmHive," demonstrates his focus on robust, real-world coordination between drones and mobile robots, achieving dynamic formation landing without requiring each agent to carry heavy computer vision hardware. His "SwarMan" project extends this expertise into human-robot interaction, creating an anthropomorphic drone avatar that uses deep learning-based gesture recognition for remote affective communication. With over 20 citations across his key papers, Baza’s research is gaining traction for its practical approach to swarm autonomy. His recent work on hexapod gait modeling further showcases his versatility in legged locomotion. Baza’s contributions are paving the way for more adaptable, collaborative robotic systems capable of operating in dynamic, unstructured environments.
Research Focus
Key Achievements
Top Papers
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