Papers
2
Total Citations
33
H-Index
2
About
Younes Lakhnati is a leading voice at the intersection of assistive robotics and human-machine interaction. His research centers on developing inclusive, intelligent robotic systems, with a particular focus on human-robot collaboration for people with mobility impairments. In his highly cited 2020 thematic analysis (18 citations), Lakhnati provided a foundational understanding of how collaborative robots can be designed to support workplace integration for individuals with physical disabilities, addressing a critical gap in economic participation and accessibility. Building on this, his 2024 work (15 citations) pioneers the integration of Large Language Models—specifically GPT-based architectures—into variable autonomy frameworks for human-robot teaming. By exploring how LLMs can dynamically adjust robot decision-making in virtual reality simulations, Lakhnati is shaping the future of adaptive, context-aware robotic teammates. His contributions are not only technically innovative but deeply human-centered, bridging cutting-edge AI with real-world social impact. For students and researchers, Lakhnati’s work exemplifies how robotics can be engineered for empowerment, equity, and seamless collaboration.
Research Focus
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Top Papers
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