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About

Mohammed Kutbi is a robotics and computer vision researcher whose work centers on assistive technology, human-robot interaction, and autonomous navigation systems for individuals with mobility impairments. His most significant contributions lie in developing egocentric vision-based robotic wheelchairs that enable hands-free mobility for elderly and disabled users who have limited or no hand functionality — a challenge with profound humanitarian implications. Kutbi's foundational 2016 paper introduced the concept of an egocentric computer vision-driven co-robot wheelchair, which has since garnered 16 citations, while its 2020 usability-focused follow-up became his most-cited work with 26 citations, reflecting growing interest in practical, user-centered evaluation of such systems. His research further explores shared autonomy frameworks that intelligently balance user preferences with robotic decision-making, as demonstrated in his 2017 work on learned user preferences. Notably, he has also investigated simulation-based training for wheelchair navigation through learning from demonstration, addressing the scalability of real-world robotic training. Across his career, Kutbi has championed adaptive, inclusive robotics that gives agency back to vulnerable populations, making meaningful strides toward technology that genuinely enhances human independence and quality of life.