Sabrina Mekhoukh
Papers
1
Total Citations
2
H-Index
1
About
Sabrina Mekhoukh is a pioneering researcher at the intersection of artificial intelligence, robotics, and industrial automation. Her work centers on integrating large language models (LLMs) with robotic control systems, particularly in voice- and vision-guided autonomous applications. In her most notable study, "LLM-driven agent for speech-enabled control of industrial robots: A case study in snow-crab quality inspection" (2025), she demonstrates how an LLM-based agent can interpret natural language instructions, dynamically plan movements, and execute complex inspection tasks in real-world industrial settings. This breakthrough showcases the potential for more intuitive, human-robot collaboration in manufacturing and quality assurance. Though early in her career, her work has already garnered attention, with this paper accumulating 2 citations. Mekhoukh’s research pushes the boundaries of how AI can bridge human communication and robotic precision, offering a glimpse into the future of smart factories where workers can simply speak commands to control machinery. Her contributions are particularly valuable for students and researchers exploring the practical deployment of LLMs beyond text-based tasks, into the physical world of robotics and automation.
Research Focus
Key Achievements
Top Papers
- 1