Xiaoyu Qiu

Shandong University of Science and Technology, University of Jinan

Papers

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About

Xiaoyu Qiu is a robotics researcher focused on intelligent systems for healthcare and elderly care, with key contributions in automated pharmacy handling, assistive robotics, and multimodal human-robot interaction. Their work addresses critical challenges in automation and elderly assistance, including the design of an automated pharmacy handling robot to improve efficiency in warehousing and pharmacy operations (3 citations). Qiu has also advanced gesture recognition for elderly care robots, developing an intelligent error correction algorithm that improves recognition rates from 70% to higher accuracy by accounting for age-related palm changes (2 citations). A notable achievement is the STMMI (Self-Tuning Multi-Modal Fusion Algorithm), which enables assistive robots to better understand user intentions in complex environments by fusing multiple sensory inputs without restrictive assumptions (2 citations). Additionally, their research on intention flexible mapping algorithms for elderly escort robots tackles the lack of intelligence in current care systems, proposing adaptive mapping to enhance robot responsiveness to elderly users’ needs (2 citations). Qiu’s work is pioneering in making robotics more accessible and effective for aging populations, with a clear impact on improving quality of life through human-centered automation.