Adrian Canoso

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About

Adrian Canoso’s research lies at the intersection of human-robot interaction, gerontechnology, and assistive robotics, with a focus on designing autonomous systems that enhance the quality of life for older adults. His most-cited work, “Evaluating older adults' interaction with a mobile assistive robot” (2017, 24 citations), presents findings from two deployments of an autonomous mobile robot in low-income Supportive Apartment Living (SAL) facilities. Through focus groups with clinicians, caregivers, and older adults, Canoso established design guidelines for both hardware and software that prioritize intuitive, dignified interaction. This study is notable for its real-world, community-based approach, moving beyond lab settings to address the practical challenges of deploying robots in underserved aging populations. Canoso’s contributions have shaped how researchers and engineers approach user-centered design for assistive technologies, emphasizing empathy, accessibility, and iterative feedback. His work continues to influence the development of socially assistive robots that support independence and social connection among older adults.