Ibrahim Kadri

Université de Moncton, University of Bechar

Papers

Total Citations

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About

Ibrahim Kadri is a robotics researcher whose work sits at the intersection of industrial automation, computer vision, and artificial intelligence. His research focuses on developing intelligent control systems that enable robots to perceive, interpret, and interact with their environments more naturally and autonomously. Kadri’s major contributions include pioneering the integration of large language models (LLMs) into voice- and vision-based robotic control for industrial applications, as demonstrated in his 2025 study on an LLM-driven agent for speech-enabled control of industrial robots used in snow-crab quality inspection. This work showcases how natural language instructions can dynamically guide robot planning and execution, bridging human-robot communication gaps. Earlier, in 2020, Kadri advanced multi-object sorting applications by combining vision techniques with KUKA robotic arms, leveraging VisionTech software to handle parts of varying dimensions and characteristics. While his most-cited papers currently hold 2 citations each, their recency and forward-looking nature signal growing impact in the emerging field of LLM-augmented robotics. Kadri’s achievements highlight his role in shaping the next generation of autonomous, human-friendly industrial systems.