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About

Sharaf Mohamed is a robotics researcher whose work sits at the intersection of human-robot interaction (HRI), socially assistive robotics, and elder care technology. His research focuses on designing and deploying autonomous robots that meaningfully support older adults in long-term care and retirement settings, addressing critical challenges such as cognitive decline, social isolation, and daily assistance needs. Mohamed is perhaps best known for his work with Tangy, a socially assistive robot he developed to autonomously facilitate recreational and cognitive activities — including Bingo and Trivia — for elderly residents. These studies, which have garnered 31 and 26 citations respectively, demonstrated that robot-facilitated engagement could provide both social and cognitive stimulation in group settings, including innovative team-based interaction models. His research extends beyond single-robot scenarios; he has made notable contributions to multi-robot task planning architectures, enabling teams of heterogeneous robots to coordinate assistance across retirement home environments, work that earned 15 citations. His autonomous person-finding algorithm, cited 23 times, addressed the practical challenge of robots locating multiple dynamic users across complex, multi-room spaces. Through rigorous user studies and sophisticated planning frameworks, Mohamed has significantly advanced the viability of assistive robotics as a practical tool for improving quality of life among aging populations.