Xiyuan Zhao

State Key Laboratory of Digital Medical Engineering, Changchun University of Technology

Papers

Total Citations

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About

Xiyuan Zhao is a rising researcher at the forefront of collaborative robotics and human-robot interaction, with a focus on assistive technologies for elderly care. Their work centers on developing more natural and reliable ways for robots to understand and respond to human intentions. Zhao’s most-cited paper, “Learning Multimodal Confidence for Intention Recognition in Human-Robot Interaction” (2024, 6 citations), introduces a novel framework that enables robots to fuse multiple sensory inputs—such as vision and motion—to predict human actions with greater accuracy and confidence. This contribution is critical for creating safe, intuitive robotic assistants capable of operating in dynamic, real-world environments. Additionally, their comprehensive review “Research on the application of humanoid robots” (2024, 1 citation) synthesizes the latest advancements and challenges in the field, mapping out future trends for humanoid deployment in healthcare and daily assistance. Though early in their career, Zhao’s work is already shaping the next generation of collaborative robots, promising to make human-robot cooperation more seamless and trustworthy. Their research holds significant potential for improving quality of life, particularly for aging populations requiring daily support.