Zuoxu Wang
Papers
7
Total Citations
324
H-Index
5
About
Zuoxu Wang is a leading researcher at the forefront of human–robot collaboration (HRC) and industrial artificial intelligence, with a focus on creating proactive, human-centric smart manufacturing systems. His work bridges cognitive robotics and vision-language models to enable robots that can anticipate, adapt to, and collaborate seamlessly with human partners. Wang’s most influential paper, “Proactive human–robot collaboration: Mutual-cognitive, predictable, and self-organising perspectives” (2022), has garnered 241 citations and lays the theoretical foundation for a new paradigm in which robots and humans share mutual understanding rather than operating in a reactive, command-following manner. He has also pioneered the use of scene graphs for industrial spatial intelligence, with papers such as “IndVisSGG” (2025) and “Dynamic Scene Graph for Mutual-Cognition Generation” (2022) demonstrating how robots can dynamically interpret complex, changing environments. His recent work on open-vocabulary 3D scene graphs and large language models for humanoid cognition pushes the boundaries of long-term, language-guided mobile manipulation. With a growing body of highly cited work and a clear trajectory toward cognitive, self-organizing HRC, Wang is shaping the future of intelligent, collaborative manufacturing.
Research Focus
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Top Papers
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