Ayoub Khettabi
Papers
1
Total Citations
3
H-Index
1
About
Ayoub Khettabi is a rising researcher at the intersection of artificial intelligence and autonomous systems, with a primary focus on human-drone interaction and natural language control. His most notable contribution, "Leveraging Large Language Models for Real-Time UAV Control" (2025), pioneers the use of LLMs to enable intuitive, voice-based command of unmanned aerial vehicles, reducing the cognitive burden of traditional manual controllers. This work addresses a critical gap in making drone technology accessible for dynamic, time-critical civilian and industrial applications. While still early in his career, Khettabi’s research has already garnered attention, with his flagship paper accumulating 3 citations—a promising start for a 2025 publication. His work stands out for its practical focus on bridging advanced AI with real-world usability, positioning him as a key voice in the future of autonomous control interfaces. Khettabi’s contributions are particularly relevant for students and researchers exploring human-AI collaboration, offering a glimpse into how large language models can transform not just text generation but physical interaction with robotic systems.
Research Focus
Key Achievements
Top Papers
- 1Leveraging Large Language Models for Real-Time UAV Control3 citations · 2025