Xiuju Song

Zhejiang Province Institute of Architectural Design and Research, Zhejiang University

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About

Xiuju Song is a leading researcher at the intersection of human-robot collaboration and intelligent manufacturing, with a focus on Industry 5.0. Her work centers on developing advanced frameworks for human-robot interaction, particularly in handover tasks, where she has pioneered methods that fuse human digital twins with deep domain adaptation to enable robots to proactively understand human intentions. This research, published in 2024 and already garnering 17 citations, addresses a critical challenge in smart manufacturing by enhancing the safety and efficiency of human-robot collaboration. Song has also contributed to the field through comprehensive reviews of industrial exoskeletons for secure human-robot interaction, and she has developed equipment-level digital twin methods for industrial robots in machining applications. Her work is notable for bridging theoretical frameworks with practical industrial applications, making significant strides toward more adaptive and intuitive robotic systems. With her research accumulating growing attention in the robotics and manufacturing communities, Song is establishing herself as a key voice in the transition toward human-centric, resilient, and sustainable Industry 5.0 environments.