Sid‐Ahmed Selouani
Papers
1
Total Citations
2
H-Index
1
About
Dr. Sid-Ahmed Selouani is a leading researcher at the intersection of artificial intelligence, speech processing, and autonomous robotic systems. His work focuses on enabling natural human-machine interaction through the integration of large language models (LLMs) with voice and vision-based control. In a landmark 2025 study, he pioneered an LLM-driven agent for speech-enabled control of industrial robots, demonstrating its application in snow-crab quality inspection. This work shows how an LLM-based agent can interpret natural language instructions, dynamically plan movements, and execute complex tasks in real-world industrial settings. With 2 citations to date, this cutting-edge research is already influencing the next generation of autonomous manufacturing and quality control systems. Dr. Selouani’s contributions bridge the gap between conversational AI and robotics, advancing the vision of truly intuitive, voice-controlled automation. His work is essential reading for researchers and students exploring the future of human-robot collaboration in industry 4.0.
Research Focus
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Top Papers
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