Xiang Guo

Papers

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About

Xiang Guo is an emerging researcher specializing in assistive robotics and human-robot interaction, with a particular focus on developing autonomous systems designed to enhance the quality of life for elderly individuals and people with physical disabilities. Their work centers on one of the most fundamental yet challenging aspects of independent living: enabling individuals with upper limb weakness or disabilities to eat without assistance from caregivers. Guo's most notable contributions include the development of an eating-assistive robotic system featuring an autonomous feeding framework integrated with active compliance control, addressing critical challenges around complex interaction patterns and user safety. Complementing this, their vision-based target localization system for meal assistance robots tackles the precise detection and tracking of cutlery and food items — a foundational technical challenge in bringing such systems to practical use. Although Guo's publication record is still early-stage, with cited works accumulating recognition within the assistive technology and robotics communities since 2022, the research addresses a deeply meaningful gap: the significant population of disabled individuals who remain unable to eat independently despite existing assistive devices. Guo's interdisciplinary approach, bridging computer vision, autonomous control, and human-centered design, positions them as a promising contributor to the future of rehabilitative and assistive robotics.